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Record W2108869702 · doi:10.1016/j.alter.2009.11.002

Regards croisés sur une photographie sportive

2010· article· fr· W2108869702 on OpenAlexaff
Estelle Lebel, Anne Marcellini, Athanasios Pappous

Bibliographic record

VenueAlter · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesArtSociology

Abstract

fetched live from OpenAlex

Cet article présente trois analyses, réalisées séparément par trois chercheurs, d’une même photographie de presse sportive, prise par Bob Martin (photojournaliste sportif) lors des Jeux Paralympiques d’Athènes en 2004. La première, dans une approche sociologique, compare la photo étudiée à celles d’un corpus diachronique des photographies de natation Handisport produites en France. La deuxième, plus sémiotique, porte un regard synchronique en situant l’image dans la chaîne rhétorique de la photographie sportive et dans la production même du photographe. La troisième rapproche la composition de l’image à la thèse de la liminalité des personnes handicapées, symbolisant la place sociale qui leur est assignée. Ce travail, issu d’une rencontre dans le cadre d’un séminaire méthodologique interdisciplinaire, vise à une réflexion épistémologique et méthodologique sur les conditions d’utilisation des images en sciences sociales et plus particulièrement sur la richesse, l’intérêt et les limites de leur utilisation comme données-sources dans l’étude des représentations sociales des personnes dites “handicapées” et de leur évolution.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.005
Science and technology studies0.0090.010
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.131
GPT teacher head0.442
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2010
Admission routes1
Has abstractyes

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