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Record W2915406538 · doi:10.18162/fp.2019.442

La formation initiale et continue au Bénin : entre professionnalisation et déprofessionnalisation

2019· article· fr· W2915406538 on OpenAlexvenueno aff
Christian Adekou, Abdel Rahamane Baba-Moussa

Bibliographic record

VenueFormation et profession · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

La fonction enseignante suscite au Bnin des dbats entre professionnalisation et dprofessionnalisation du fait des mesures de gratuit scolaire prises en 2006 en marge des prvisions du Plan dcennal de dveloppement du secteur de l' ducation, et qui ont conduit l'utilisation d' enseignants communautaires non qualifis pour faire face aux effectifs croissants. Le prsent article interroge doublement le rle de la formation initiale et continue d'une part et l'utilisation des enseignants communautaires d'autre part, sur la professionnalisation des enseignants et la qualit de l' enseignement. L' enqute qualitative ralise auprs de 53 lves matres en formation dans les coles normales d'instituteurs montre qu'au-del de l'utilisation des enseignants non qualifis se pose plus globalement le problme de la qualit de la formation des enseignants avec une tension entre des mesures favorables la professionnalisation et des effets relevant plutt de la dprofessionnalisation. Ainsi, la formation initiale ne semble apporter quasiment aucune plus-value et les donnes disponibles sur les rsultats des tablissements scolaires montrent que la prsence des enseignants communautaires n' est pas corrle la baisse de la qualit de l' enseignement. L'article fournit ainsi un ensemble d'informations susceptibles d'aider la prise en compte de la question enseignante dans la rforme de l' ducation.

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)0.019
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.010
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.171
GPT teacher head0.478
Teacher spread0.307 · 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 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
Published2019
Admission routes1
Has abstractyes

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