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Record W4320511064 · doi:10.7202/1096304ar

Différence cranio-faciale et handicap d’apparence : fragilité impensée d’un « peuple invisible »

2023· article· fr· W4320511064 on OpenAlexaffvenueabout
Jean‐François Roussel

Bibliographic record

VenueLaval théologique et philosophique · 2023
Typearticle
Languagefr
FieldMedicine
TopicFacial Nerve Paralysis Treatment and Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Le concept de différence cranio-faciale désigne un ensemble de traits innés ou acquis qui résultent en anomalies au visage. Si la différence cranio-faciale est habituellement appréhendée comme un fait individuel, et si on y prête peu d’attention dans les définitions du handicap qui régissent les politiques du handicap, cette étude l’aborde dans ses dimensions sociales ignorées, comme on le voit entre autres dans un jugement de la Cour suprême du Canada en 2021. L’étude propose ensuite une réflexion théologique sur la manière dont l’anomalie cranio-faciale déstabilise certains schèmes culturels qui orientent nos visions du monde et dont elle invite à engager un rapport différent à la réalité et au sens de la vie.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.294

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.031
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.064
GPT teacher head0.366
Teacher spread0.302 · 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

Citations0
Published2023
Admission routes3
Has abstractyes

Explore more

Same venueLaval théologique et philosophiqueSame topicFacial Nerve Paralysis Treatment and ResearchFrench-language works237,207