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Record W1709048467 · doi:10.26522/vp.v10i2.876

Impact de la formation en français sur objectifs spécifiques sur la compétence discursive de l’apprenant scientifique marocain : cas de l’Ecole Nationale d’Agriculture de Meknès

2013· article· fr· W1709048467 on OpenAlexvenueno aff
Jamila Tamesna

Bibliographic record

VenueVoix Plurielles · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

La méthodologie adoptée repose sur trois outils d’investigation à savoir, le questionnaire, l’analyse de contenu du compte rendu d’un article de vulgarisation scientifique choisi comme support de travail, et l’analyse de contenu du tableau récapitulatif du même texte-support. Nos instruments d’investigation ont permis de déceler une amélioration des acquis intégrés, mais celle-ci ne touche pas toutes les habiletés. L’étude a démontré notamment que nos options méthodologiques se sont révélées insuffisantes, car la finalité ne saurait se réduire à l’acquisition de compétences méthodologiques ou de savoir-faire, mais doit viser également la maîtrise du système proprement linguistique.

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)0.036
metaresearch head score (Gemma)0.062
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 score0.111
Threshold uncertainty score0.221

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0360.062
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.004
Scholarly communication0.0070.003
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.011
GPT teacher head0.284
Teacher spread0.273 · 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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Same venueVoix PluriellesSame topicFrench Language Learning MethodsFrench-language works237,207