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Record W1855360280 · doi:10.7202/018885ar

Les villages tanzaniens ujamaa 40 ans plus tard

2008· article· fr· W1855360280 on OpenAlexvenueno aff
Kelly Askew

Bibliographic record

VenueAnthropologie et Sociétés · 2008
Typearticle
Languagefr
FieldSocial Sciences
TopicAfrican history and culture analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Entre 1967 et 1977, quelque 10 millions de Tanzaniens ont été déplacés de leur terre affermée et regroupés dans des villages ujamaa (littéralement, familyhood ) bâtis par suite d’une décision gouvernementale, donnant lieu ainsi à l’un des plus vastes programmes de réinstallation de l’histoire. Le président Julius Nyerere, « père » et philosophe du socialisme tanzanien, a justifié la villagisation en alléguant qu’elle permettrait d’améliorer la prestation de services de base à la population, tels que des cliniques médicales, des écoles et de l’eau potable. Or, dans la foulée de l’abandon progressif du programme et du discours socialistes au milieu des années 1980, le sort de ces villages demeure dans une large mesure inconnu. Comment les villageois évaluent-ils de nos jours la vie dans ces villages comparativement à ce qu’elle était à l’époque socialiste? Quels éléments de la coopération communale, s’il s’avère que celle‑ci a véritablement existé, ont été maintenus? Cet article fait état d’une enquête réalisée auprès de résidants d’anciens villages ujamaa de la région de Mwanza. Leurs témoignages apportent certaines réponses à ces questions et sont mis en contexte dans une plus vaste analyse de la politique agricole tanzanienne sous les régimes socialiste et postsocialiste.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.648
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0040.011
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0630.001

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 head0.256
GPT teacher head0.526
Teacher spread0.271 · 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

Citations5
Published2008
Admission routes1
Has abstractyes

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