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Record W4407924809 · doi:10.51363/unifr.lma.2024.014

Reconnaissance sociale de la profession enseignante et identité professionnelle

2024· dissertation· fr· W4407924809 on OpenAlexaboutno aff
Elena L'Eplattenier

Bibliographic record

Venuenot available
Typedissertation
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Au coeur des enjeux sociétaux actuels se trouve la question de la reconnaissance sociale des enseignants et son impact sur leur identité professionnelle. Alors que la profession enseignante revêt une importance capitale dans la transmission des connaissances et le développement des individus, elle est confrontée à des défis grandissants et à une évolution complexe. Ce travail explore comment le manque de reconnaissance sociale, amplifié par des attentes sociales souvent irréalistes et des médias représentant la profession de manière négative, influence le bien-être, la satisfaction professionnelle et le sentiment d’efficacité des enseignants. Dans ce contexte, une attention particulière est accordée à la Suisse, à la France et au Canada (Québec). À travers une analyse approfondie, ce travail met en lumière l'urgence de reconnaître pleinement la valeur du travail des enseignants et propose des pistes de réflexion pour renforcer leur statut professionnel et leur épanouissement au sein de la société.

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)0.004
metaresearch head score (Gemma)0.008
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.336

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0080.011
Scholarly communication0.0090.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.001

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 head0.151
GPT teacher head0.502
Teacher spread0.351 · 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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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