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Les crises des systèmes d’enseignement en Afrique noire. Un essai d’analyse à travers le cas du Burkina Faso

2004· article· fr· W2520624411 on OpenAlexvenueaboutno aff
Pascal Bianchini

Bibliographic record

VenueCanadian Journal of African Studies / Revue canadienne des études africaines · 2004
Typearticle
Languagefr
FieldSocial Sciences
TopicAfrican Studies and Ethnography
Canadian institutionsnot available
Fundersnot available
KeywordsOpposition (politics)HegemonyPolitical sciencePoliticsHumanitiesLaw

Abstract

fetched live from OpenAlex

The crises in the sub-saharan educational systems have structural causes related to the great importance granted to the “school capital.” However, a factual approach to these processes is often useful in order to understand contemporary socio-political history. In the case of Burkina-Faso, we have observed a number of mobilizations led by actors opposed to hegemony (teachers’unions, students’ and pupils’ movements) which have often spearheaded opposition during the various regimes of former Haute Volta and now Burkina Faso. The most intense phases of politicization in this conflict occur mainly in the 1970s and again in the 1990s. The school policies given impetus at the international level were successfully re-oriented, from the attempted reforms, tested by UNESCO, to the educational adjustment, imposed by the World Bank. However, the school system has not been “pacified” yet, and these recurrent conflicts continue to be at the top of the political agenda in a state such as Burkina Faso.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.239
Threshold uncertainty score0.475

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0060.005
Scholarly communication0.0060.007
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.033
GPT teacher head0.259
Teacher spread0.227 · 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

Citations1
Published2004
Admission routes2
Has abstractyes

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