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Record W6959697917 · doi:10.1051/ppsy/2015541030/pdf

Les représentations sociales et culturelles du handicap de l’enfant en Afrique noire

2015· article· fr· W6959697917 on OpenAlexaboutno aff

Bibliographic record

VenueSpringer Link (Chiba Institute of Technology) · 2015
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicPlant pathogens and resistance mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsMental handicapCultural environmentNova scotia

Abstract

fetched live from OpenAlex

Le handicap physique ou mental est une composante majeure de la stigmatisation et de la marginalisation de ceux et celles qui en souffrent dans toutes les cultures. Ceci dit, l’Afrique noire est souvent considérée à tort ou à raison comme un monde où l’enfant handicapé est le mieux protégé contre ce type mauvais traitement. Ce travail contraste avec cette croyance et propose un voyage à travers l’Afrique subtropicale sur les représentations collectives et sociales du handicap de l’enfant quelle que soit sa forme. Si plusieurs études ont, certes, montré que le regard de l’Africain sur le handicap de l’enfant évolue avec le temps, l’auteur montre qu’il y a encore du chemin à faire. Comme les perceptions et les représentations interprètent et expliquent la survenue de la maladie et du handicap, l’auteur montre que l’histoire des soins ou l’itinéraire thérapeutique des sujets africains en cas d’événement pathologique reste encore largement influencés par celles-ci.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.041
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.008
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.002
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 head0.031
GPT teacher head0.272
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 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

Citations0
Published2015
Admission routes1
Has abstractyes

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