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Record W2305208382 · doi:10.7202/1034776ar

Quels modes de raconter la souffrance ? L’expression du religieux en Haïti après le retrait des ONG

2016· article· fr· W2305208382 on OpenAlexaffvenue
René Delvaux

Bibliographic record

VenuePolitique et Sociétés · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Depuis le séisme du 12 janvier 2010, le discours humanitaire sur la souffrance cohabite avec les expressions religieuses en Haïti. L’analyse d’entrevues menées dans des camps de déplacés entre septembre 2012 et mai 2013 permet d’exposer les effets du langage humanitaire sur le parler ordinaire des populations haïtiennes touchées par le séisme. Cet article cherche à comprendre la fonction de l’expression religieuse des Haïtiens, notamment dans son interaction avec le langage humanitaire dans l’espace des camps. À partir d’énoncés tirés des récits de résidents de camps de déplacés, il semble possible de percevoir ce qui, dans ces discours religieux, apparaît comme une nouvelle contrainte dans l’expression de la souffrance et ce qui pourrait s’établir, dans le parler ordinaire, comme écart et réappropriation.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.068
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.004
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.065
GPT teacher head0.391
Teacher spread0.326 · 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".

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Citations0
Published2016
Admission routes2
Has abstractyes

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