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Record W2102815448

Qualités métriques des résultats académiques universitaires

2013· article· fr· W2102815448 on OpenAlexaff
Léon Harvey, Marie-Hélène Hébert, Catherine Simard

Bibliographic record

VenueR-libre (Université Téluq) · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsHumanitiesSociologyPsychologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Resume Cet article presente une synthese des ecrits qui attestent que les resultats obtenus par les etudiants dans le cadre d’une formation universitaire, et rapportes au dossier academique, sont valides, fiables et en lien avec les objectifs des programmes. Sont passes en revue la validite et la fiabilite des resultats academiques, les indices utilises, les principales procedures, ainsi que les principaux constats au niveau universitaire. Mots cles : resultats academiques, validite, fiabilite, analyse factorielle, assurance qualite English title : Validity et fiability of grades :  A review Abstract This paper reviews studies that claim that results obtained by students during university schooling, as reported in their academic files, are valid, reliable and related to the program objectives. The themes examined include the validity and reliability of grades, the indices used, the main procedures, and some important aspects concerning university education. Key words : grades, validity, fidelity, reliability, factorial analysis, quality assurance

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.823
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.010
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.003

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 head0.116
GPT teacher head0.374
Teacher spread0.257 · 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 designNot applicable
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
Published2013
Admission routes1
Has abstractyes

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