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Record W2771669448 · doi:10.7202/1038636ar

L’étrangeté de l’étranger

2017· article· fr· W2771669448 on OpenAlexvenueno aff
Romuald Évariste Bambara

Bibliographic record

VenueAnthropologie et Sociétés · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyHumanitiesArt

Abstract

fetched live from OpenAlex

Entreprendre une approche phénoménologique de l’étranger, c’est s’engager dans le choix de décrire ce qui est indescriptible. Cette difficile saisie de l’étrangeté d’autrui s’explique par la difficulté de trouver des données figées dans l’espace et le temps pour caractériser celle-ci. Problème inhérent à l’humain en général, du fait que l’identité, c’est-à-dire ce qui singularise l’autre ou constitue sa spécificité, échappe à toute analyse. Elle est toujours en construction. L’altérité inaltérable de tout sujet est le non-synthétisable. D’où l’idée de procéder à un mode indirect de description phénoménologique afin de saisir dans l’étranger ce qui constitue son étrangeté ou son asymétrie irréductible. L’acceptation de cette dimension de liberté propre à l’étranger permet à l’autre ou au Moi de cohabiter avec lui. Quelle que soit la figure de l’étranger, le vivre ensemble est favorisé par l’élaboration d’une éthique de la rencontre qui incite à l’intégration de celui-ci avec son altérité ou sa transcendance et non le développement d’un communautarisme susceptible d’instaurer la rivalité entre les communautés.

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)0.004
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: none
Teacher disagreement score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0060.022
Scholarly communication0.0120.013
Open science0.0020.007
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0210.006

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 head0.508
GPT teacher head0.640
Teacher spread0.133 · 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
Published2017
Admission routes1
Has abstractyes

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