Review of van Fraassen pre-print Edinburgh Research Explorer Review of Bas van Fraassen. Scientific representation: paradoxes of perspective Citation for published version: Massimi, M 2009, 'Review of Bas van Fraassen. Scientific representation: paradoxes of perspective', International Studies in the Philosophy of Science, vol. 23, no. 3, pp. 323-337. https://doi.org/10.1080/02698590903197799 Digital Object Identifier (DOI): 10.1080/02698590903197799 Link: Link to publication record in Edinburgh Research Explorer Document Version: Peer reviewed version Published In: International Studies in the Philosophy of Science Publisher Rights Statement: This is an Author's Accepted Manuscript of an article published in International Studies in the Philosophy of Science (2009). 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Apr. 2021 https://doi.org/10.1080/02698590903197799 https://doi.org/10.1080/02698590903197799 https://www.research.ed.ac.uk/portal/en/publications/review-of-bas-van-fraassen-scientific-representation-paradoxes-of-perspective(20ffb444-0883-4888-85df-10e0f771d31a).html Scientific  Representation:  Paradoxes  of  Perspective   Michela  Massimi   University  College  London   Published  in  International  Studies  in  the  Philosophy  of  Science  Vol.  23,  No.  3,  October  2009,  pp.  323– 337     Scientific   Representation:   Paradoxes   of   Perspective;   Bas   C.   van   Frassen,   Oxford,   Clarendon   Press,   2008,  xiv  +  303  pp.,  ISBN  9780199278220,  £30.00,  US$50.00  (hardback)   Scientific  representation  is  a  fast-­‐growing  topic  in  contemporary  philosophy  of  science.  The  problem   of  explaining  how  science  represents  the  world  is  an  old  one,  deeply  entangled  with  the  issue  of   realism  and  the  problems  that  normally  come  with  it  (from  reference  to  mind  independence).  But  in   recent  times,  the  topic  of  scientific  representation  has  taken  a  life  of  its  own,  mainly  because  of  the   fashionable   experimentalist   quarters   from   which   it   originates.   Attention   to   scientific   practice   and   how   scientific   models   represent   phenomena   raises   specific   questions   about   the   very   nature   of   scientific  representation,  and  the  difference  between  representation  in  science  and  representation   in  the  arts.   Bas   van   Fraassen’s   book   is   the   most   up-­‐to-­‐date   and   paradigmatic   expression   of   this   new   trend  in  philosophy  of  science,  for  at  least  two  main  reasons.  Firstly,  it  explicitly  acknowledges  the   experimentalist  roots  of  the  problem,  as  it  arises  in  the  contemporary  literature.  Measuring  is  a  way   of   representing,   and   scientific   representation   is   perspectival   in   the   same   sense   as   Dürer’s   ‘art   of   measurement’:  drawing  in  perspective  is  itself  a  measurement  technique.   Second,   and   for   the   first   time   as   far   as   I   am   aware,   van   Fraassen’s   book   clearly   marks   a   distinction  between  the  problem  of  representation  as  it  appears  in  the  sciences,  and  as  it  appears  in   philosophy.  In  particular,  it  marks  a  distinction  between  the  problem  as  it  originally  emerged  with   the  scientific  revolution  at  the  time  of  Copernicus  and  Galileo;  and  the  subsequent  philosophical  re-­‐ elaboration  of  the  problem  with  Descartes,  whereby  ‘The  problem  initially  faced  in  the  sciences  was   thus  transposed  into  one  pertaining  mind  and  matter’  (275).  And  while  the  philosophical  problem  of   the  external  world—from  Descartes,  to  Kant,  to  Bradley—may  well  be  unsolvable,  philosophers  of   science  should  confine  their  attention  to  the  specific  problem  of  explaining   ‘how  can  an  abstract   mathematical  structure  represent  a  concrete  physical  entity?’  (243),  which  leads  van  Fraassen  back   to  some  classical  discussions  about  empirical  adequacy  and  ‘saving  the  phenomena’,  enriched  with   new  important  caveats  and  distinctions,  as  we  shall  see  below.   The  whole  book  then,  as  I  see  it,  is  articulated  around  these  two  main  themes,  and  develops   a  sophisticated,  intriguing,  subtle  line  of  argument  that  goes  from  the  experimentalist  roots  of  the   problem  of  scientific  representation,  to  the  final  diagnosis  of  the  divide  between  philosophy  and  the   sciences  on  this  specific  problem.  Hence  the  four  parts  into  which  the  book  is  divided,  and  of  which  I   can  only  offer  a  very  brief  overview  below,  at  the  cost  of  leaving  out  many  details.  I  hope  at  least   that  at  the  end  of  this  overview,  the  subtle  line  of  argument  that  goes  from  the  first  to  the  second   aforementioned  theme  will  become  clear.   The  first  part,  consisting  of  the  first  three  chapters,  is  on  representation  itself.  Going  back  to   Nelson   Goodman   and   most   recent   debates   on   scientific   representation,   van   Fraassen   makes   the   point   that   there   is   no   strong   argument   to   ban   resemblance   from   representation.   If   anything,   representation   trades   on   selective   resemblances   for   their   usefulness,   where   ‘use’   or   ‘usefulness’   encompasses  the   intention  of  the  creator,  coding  conventions   in  the  community,  and  the  way   in   which  the  audience  takes  it,  among  other  things.  The  emphasis  is  on  the  pragmatics,  more  than  on   the   syntax   or   semantics   of   representation:   ‘A   scientific,   technical,   or   artistic   representation   is   an   artefact  …  something  constituted  as  a  cultural  object,  through  its  role  or  function,  bestowed  upon  it   in  practice’  (30).  Not  only  is  representation  intentional,  in  the  sense  of  being  related  to  the  epistemic   intentions   of   the   user.   It   is   also   perspectival,   in   the   same   sense   of   Alberti’s   and   Dürer’s   pictorial   perspective:   representing   is   the   ‘art   of   measuring’,   i.e.   of   using   machines   and   engines   to   offer   representations  of  phenomena  not  as  they  are,  but  as  they  appear  from  the  particular  vantage  point   of  an  observer.   The  second  part  of  the  book  (chapters  4–7)  expands  on  the  idea  of  representing  as  the  art  of   measuring.   This   is   the   part   of   the   book   that   fleshes   out   the   experimentalist   roots   of   the   contemporary   problem   of   scientific   representation.   The   emphasis   is   all   on   scientific   instruments,   their  three  main  roles  (representative,  imitative,  and  productive)  and  two  main  ways  of  looking  at   them:  either  as  engines  of  creation  or  as  windows  upon  the  invisible  world.  It  is  in  this  context  that   we   encounter   some   of   van   Fraassen’s   familiar   discussions   about   electron   microscopes   and   spectroscopes  creating  ‘new  phenomena,  truly  humanly  observable  phenomena’  (100),  as  opposed   to  being  windows  into  the  unobservable  realm.  The  discussion  is  enriched  by  a  new  emphasis  on   measurement,   both   from   a   historical   perspective   (going   back   to   Mach   on   thermometers,   and   Poincaré  and  Einstein  on  time  and  length  measurements—chapter  5)  and  from  a  philosophical  one,   whereby   aspects   of   the   notion   of   ‘measurement   outcome’—i.e.   intentionality,   indexicality,   and   perspectivity—are  related  to  specific  kinds  of  representation  (especially  imaging  and  picturing,  180– 181).   It  is  in  this  context  that  van  Fraassen  introduces  a  new  take  on  a  classical  distinction  of  his   own,  namely  the  distinction  between  data  models  and  surface  models:  ‘the  data  model  summarizes   the   relative   frequencies   found;   the   surface   model   “smoothes”—in   fact   “idealizes”—this   summary   still  further  so  as  to  replace  the  relative  frequency  counts  by  measures  with  a  continuous  range  of   values.  …  The  abstracting  is  an  idealising,  an  extrapolation  to  a  form  that  could  not  be  reached  in   actual  practice’  (167  and  172).  This  distinction  turns  out  to  be  all  the  more  relevant  for  the  rest  of   the  book,  in  particular  for  the  discussion  on  structuralism  that  occupies  Part  III.   Indeed,  in  the  following  Part  III  of  the  book  (chapters  8–11),  the  focus  of  the  discussion  shifts   from   measurement   as   representation   to   the   contention   that   scientific   representation   is   about   structure   only.   Through   a   historical   excursus   via   Hertz’s   and   Boltzmann’s   Bildtheorie   to   Russell’s   structuralism,   and   from   Carnap’s   Aufbau   to   Putnam’s   model-­‐theoretic   argument   against   metaphysical  realism,  van  Fraassen  returns  to  another  familiar  topic  of  his  own,  namely  the  defence   of  an  empiricist  version  of  structuralism.  Hertz’s  problem  of  explaining  ‘just  how  do  those  “pictures”,   those  mathematical  constructions,  represent  what  they  represent?’  (208)  is  the  same  problem  that   Newman   raised   against   Russell’s   structuralism;   and   the   very   same   problem   that   also   empiricist   structuralism  ought  to  address,  whereby:   Essential  to  an  empiricist  structuralism  is  the  following  core  construal  of  the  slogan   that  all  we  know  is  structure:     I.  Science  represents  the  empirical  phenomena  as  embeddable   in  certain  abstract   structures  (theoretical  models).   II.  Those  abstract  structures  are  describable  only  up  to  structural  isomorphism.  …     Empiricist  structuralism  is  a  view  not  of  what  nature  is  like  but  of  what  science  is.   (238)   Van   Fraassen   uses   Putnam’s   model-­‐theoretic   argument   to   fight   the   metaphysical   realist   view   (associated  with  the  correspondence  theory  of  truth)  claiming  that  ‘there  is  an  essentially  unique   privileged   way   of   representing:   “carving   nature   at   the   joints”’   (244).   At   the   same   time,   he   uses   Putnam’s  argument  also  against  non-­‐empiricist  versions  of  structuralism  that  tend  to  forget  that  ‘We   have  an  interpretation  for  the  given  language  only  if  we  can  define  or  identify  such  a  function.  To  do   that  we  must  be  able  to  describe  both  the  function’s  domain  and  its  range  …  .  As  long  as  we  are  not   given  an  independent  description  of  both  the  domain  and  the  range  of  the  interpretation,  we  do  not   have  any  such  interpretation,  nor  any  way  to  identify  one’  (233–234).   But  while  Putnam,  led  by  the  model-­‐theoretic  argument,  landed  in  Kantian  internal  realism   (until  the  pragmatic  turn  of  the  late  1980s),  van  Fraassen,  led  by  the  same  argument,  opts  for  a  self-­‐ declared   Wittgensteinian   move   with   an   emphasis   on   the  use  of   theories   and   representation   (see   235),  in  continuity  with  the  pragmatics  of  scientific  representation  discussed  in  Part  I.  But  how  can   such  a  Wittgensteinian  move  help  us  address  the  problem  of  explaining  ‘how,  or  in  what  sense,  can   such   an   abstract   entity   as   a   model   “save”   or   fail   to   “save”   this   concrete   phenomenon?’   (245).   Moreover,  if  ‘saving  the  phenomena’  implies  embedding  data  models  into  theoretical  models,  both   of   which   are   abstract   structures,   then   ‘doesn’t   a   reflection   that   focuses   on   the   data   model   for   assessing  empirical  adequacy,  lose  contact  with  reality  altogether?’  (246).     We  reach  here  what  in  my  view  is  the  most  interesting  part  of  the  book,  where  the  previous   discussion   on   the   pragmatics   of   representation   and   on   measurement   as   representation   come   together  and  some  classical  tenets  of  van  Fraassen’s  constructive  empiricism  are  revisited.  The  self-­‐ declared   ‘Wittgensteinian   move’   (254)   consists   then   in   the   following:   ‘the   theory   to   phenomena   relation  displayed  here  is  an  embedding  of  one  mathematical  structure  in  another  one.  For  the  data   model—or,   more   accurately,   the   surface   model—which   represents   the   appearances,   is   itself   a   mathematical  structure  …  .  Construction  of  a  data  model  is  precisely  the  selective  relevant  depiction   of   the   phenomena   by   the   user   of   the   theory  required   for   the   possibility   of   representation   of   the   phenomenon  …  .  There   is  nothing   in  an  abstract  structure   itself  that  can  determine  that   it   is  the   relevant  data  model,  to  be  matched  by  the  theory’  (252–253).   By  shifting  attention  to  the  user-­‐dependent  notion  of  scientific  representation,  van  Fraassen   can  maintain:   For  us  the  claims   (A)  that  the  theory  is  adequate  to  the  phenomena  and  the  claim   (B)  that  it  is  adequate  to  the  phenomena  as  represented,  i.e.  as  represented  by  us    are  indeed  the  same!  That  (A)  and  (B)  are  the  same  for  us  is  a  pragmatic  tautology.   (259)   And  again:  ‘in  a  context  in  which  a  given  model  is  someone’s  representation  of  a  phenomenon,  there   is  for  that  person  no  difference  between  the  question  whether  the  theory  fits  that  representation   and  the  question  whether  that  theory  fits  the  phenomena’  (260).   Having  taken  this  crucial  pragmatic  step,  in  the  final  Part  IV,  van  Fraassen  finally  returns  to   the  issue  of  realism.  As  anticipated  above,  in  this  final  part  of  the  book  he  explores  the  parting  of  the   way  in  the  problem  of  representation  as  it  emerged  in  the  sciences  with  Galileo,  and  as  it  was  later   reinterpreted   by   Descartes   and   other   philosophers   as   the   ‘problem   of   the   external   world’.   By   building  up  on  the  previous  user-­‐dependent,  perspectival  analysis  of  scientific  representation,  van   Fraassen  now  introduces  a  new  distinction  between  appearances  and  phenomena:  ‘Phenomena  are   observable,   but   their   appearance,   that   is   to   say,   what   they   look   like   in   given   measurement   or   observation  set-­‐ups  is  to  be  distinguished  from  them  as  much  as  any  person’s  appearance  is  to  be   distinguished   from   that   person’   (284).   Appearances   are   simply   the   contents   of   measurement   outcomes,   and   should   not   be   confused   with   what   philosophers   sometimes   calls   ‘appearances’,   namely  subjectively  experienced  impressions  (see  276).   On  the  other  hand,  phenomena  are  observable  things  and  events  in  the  world:  they  are  the   ‘smelly,  colourful,  noisy  things’  which  are  real  (276).  A  paradigmatic  example  is  how  Copernicus’s   theory   saved   the   ‘phenomenon’   of   Mercury’s   motion,   by   showing   how   the   ‘appearance’   of   its   retrograde  motion  could  be  derived  (via  kinematics  and  optics)  from  what  Copernicus  postulated   about  Mercury’s  motion.  One  may  also  be  tempted  to  equate  van  Fraassen’s  distinction  between   appearances  and  phenomena  to  the  previous  distinction  between  data  models  and  surface  models,   although  van  Fraassen  does  not  do  this  explicitly.  The  bottom  line  is  that  reality  consists  of  smelly,   colourful,  noisy  (observable)  phenomena  (not  Kantian  things-­‐in-­‐themselves,  nor  a  Cartesian  external   world),  while  appearances  are  the  way  phenomena  ‘look  like’  in  a  given  measurement  set-­‐up,  and   hence  from  a  particular  vantage  point  (as  in  Dürer’s  pictorial  perspective).  We  ‘save  phenomena’  by   embedding   perspectival   appearances   (as   given   by   a   certain   instrument,   measurement   set-­‐up,   or   frequencies  in  a  data  model)  into  another  abstract  structure,  the  surface  model,  which  ‘smoothes’   and   ‘idealises’   the   measurement   outcomes,   and   eventually   embed   the   surface   model   into   theoretical  models,  such  as  for  example  Copernicus’s  geometric  models  in  astronomy.   This  brief  overview  of  the  book  does  not  do  justice  to  the  complexity,  details,  and  nuances  of   it.   But   I   hope   it   suffices   to   give   an   idea   of   the   fascinating   journey   that   goes   from   a   serious   re-­‐ appraisal  of  the  role  of  scientific   instruments  in  artistic  and  scientific  representation,  to  the  more   general  issue  of  how  science  represents  nature,  and  how  its  modalities  and  operations  should  not  be   conflated  with  the  philosopher’s  problem  of  the  external  world,  according  to  van  Fraassen.  This  is  a   book  with  an  important  and  intricate  story  to  tell,  and  it  does  it  with  so  much  attention  to  historical,   philosophical,   scientific,   and   even   artistic   details   that   makes   it   an   occasion   for   a   thousand   wider   meditations.