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Record W2532354781 · doi:10.1051/medsci/20163210021

La pragmatique dans les troubles du spectre autistique

2016· article· fr· W2532354781 on OpenAlexaff
Mikhaïl Kissine, Élise Clin, Jessica de Villiers

Bibliographic record

Venuemédecine/sciences · 2016
Typearticle
Languagefr
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPhilosophyHumanities

Abstract

fetched live from OpenAlex

Les troubles du spectre de l’autisme (TSA) sont caractérisés par des déficits pragmatiques qui ne dépendent pas du niveau développemental, que celui-ci soit verbal ou non verbal. Cette synthèse expose, en trois volets, les directions récentes dans la recherche sur les déficits pragmatiques dans les TSA. Premièrement, nous discutons la façon dont un manque de sensibilité aux indices sociaux peut influencer l’acquisition lexicale. Deuxièmement, nous résumons des résultats récents qui suggèrent que la compréhension du langage non littéral pourrait être partiellement préservée dans les TSA. Troisièmement, nous décrivons les avancées dans l’étude des aptitudes conversationnelles dans l’autisme.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.008
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.039
GPT teacher head0.321
Teacher spread0.282 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations9
Published2016
Admission routes1
Has abstractyes

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