MétaCan
Menu
Back to cohort
Record W6899143888 · doi:10.58079/pw5j

Adapter un mémoire universitaire et ses annexes à une lecture sur écran

2020· article· fr· W6899143888 on OpenAlexaboutno aff

Bibliographic record

VenueIndustrias Culturais (Universidade de Coimbra) · 2020
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Adapter (computing)Control (management)Identification (biology)Set (abstract data type)

Abstract

fetched live from OpenAlex

Depuis une quinzaine d’années, les universités exigent, en sus du volume papier ou en remplacement de celui-ci, un rendu du mémoire sous format électronique, généralement un PDF. C’est probablement ce fichier numérique qui sera le plus consulté par les lecteurs en dehors du jury du master : le PDF déposé est souvent celui communiqué par la bibliothèque de l’établissement à ses usagers via l’intranet ; c’est aussi celui qui est déposé sur Dumas (pour la France) ou Papyrus (au Québec) quand l’u...

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.829
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0020.009
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.126
GPT teacher head0.260
Teacher spread0.134 · 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 teacher head, not a consensus.

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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueIndustrias Culturais (Universidade de Coimbra)Same topicCultural Insights and Digital ImpactsFrench-language works237,207