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Record W4387753402 · doi:10.4000/ries.14004

L’agentivité des enfants et adolescents scolarisés, déscolarisés et non scolarisés au Mali

2023· article· fr· W4387753402 on OpenAlexaff
Seydou Loua

Bibliographic record

VenueRevue internationale d éducation de Sèvres · 2023
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsMcGill University
Fundersnot available
KeywordsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

Depuis le dbut de l'anne 2012, le Mali est confront un conflit arm, au centre et au nord. Plusieurs annes aprs, le pays fait face une crise multi-dimensionnelle, avec des grves frquentes des enseignants, la pandmie de Covid-19 et des sanctions internationales qui ont eu un impact sur son conomie. Victime de ces situations, le secteur de l'ducation connat des fermetures d'coles, des infrastructures endommages, des dplacements d'lves et un absentisme des enseignants. Selon le Cluster Education, en avril 2022, 1 731 coles taient fermes et 519 300 enfants dscolariss cause de ces fermetures. Durant les annes scolaires 2018-2019 et 2019-2020, les lves de l'enseignement fondamental et secondaire n'ont eu que quatre mois de cours. Ces situations ne favorisent pas les capacits d'action des jeunes et des adolescents, d'o leur insuffisance d'agentivit. C'est dans ce contexte que nous avons cherch comprendre, dans le cadre du Projet de recherche participative sur l'ducation et l'agentivit au Mali ou Participatory Research on Education and Agency in Mali (PREAM), si les jeunes ont les capacits de se prendre en charge en situation de conflit. L'tude vise donc savoir s'il existe une relation entre l'agentivit des adolescents et leur exprience de l'enseignement fondamental 1 dans les contextes de conflit des rgions de Mopti et de Sgou. Ce projet de recherche, qui doit prendre fin en 2023, a t lanc par

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)0.003
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.005

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 head0.076
GPT teacher head0.318
Teacher spread0.242 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

Explore more

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