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New Concept of Teaching Scientific French

2010· article· en· W1933074913 on OpenAlexvenueno aff
Zhang Qinglu

Bibliographic record

VenueCanadian social science · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsFrenchHumanitiesConnotationSociologyPolitical scienceLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

The paper investigates the relationship between the French for common usages and the French for special usages, stating the characteristics and teaching methodologies of the scientific French. The paper first points out the existing problems concerning the original teaching objectives, teaching methods, and teaching materials, and then presents a new concept to improve the Scientific French Teaching. It is proposed in the paper that the key to the problem relies on redefining the scientific French. Keywords: Scientific French; French teaching; French for common usage; French for special usageResume: Cet article etudie les relations entre le francais sur objectif general et le francais sur objectif special et decrit les caracteristiques du francaise scientifique, ainsi que les approches d'enseignement. Apres avoir designe les problemes existants dans les objectifs pedagogiques originaux, dans les approches d'enseignement et dans les materiaux, l'auteur propose de nouvelles approches de l'amelioration de l'enseignement du francais scientifique. Selon cet article, le coeur du probleme consiste a definir le connotation du francais scientifique. Mots-cles: francais scientifique, enseignement du francais, francais sur objectif general, francais sur objectif special

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)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.960
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0040.005
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.332
Teacher spread0.315 · 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
Published2010
Admission routes1
Has abstractyes

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