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Record W2103529545 · doi:10.7202/030178ar

L’importance du contexte

2006· article· fr· W2103529545 on OpenAlexvenueno aff
Ellen Corin

Bibliographic record

VenueSanté mentale au Québec · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicCross-Cultural and Social Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Traditional descriptions of the structure of relations between father, mother and child make difficult a realization of the impact of current transformations of family structure on the development of the child. Referring to the concept of instituted filiation developed by Guyotat, the author proposes that greater importance be accorded to the manner in which positions in present society are in the process of redefining themselves, and that our analytical and observational schemata be "culturally contextualized". Data concerning the manner in which the institution of filiation operates in a society of matriarchal lineage, the Yans society of Zaïre, highlights the influence of cultural context on the mechanism which establishes filiation. Proceeding from analyses of rituals, institutions and beliefs, the article analyzes the way in which Yans society marks, in a specific and differentiated manner, the relation to the mother, to the maternal uncle and to the lineage, the relation to the father, and the relation to the grandfather, and between alternate generations. The analysis sheds light on the mediating role of the two latter relational registers with regard to the hold of the clan, and shows the importance of this mediation in relation to the development of an individual dimension to existence. The text opens itself to a questioning directed at the place of mediation in new forms of family structure.

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)0.007
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.145
Threshold uncertainty score0.289

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0150.043
Scholarly communication0.0190.013
Open science0.0020.006
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.0080.001

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 head0.012
GPT teacher head0.283
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; 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 designTheoretical or conceptual
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
Published2006
Admission routes1
Has abstractyes

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