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Record W2961081449 · doi:10.3917/lautr.058.0062

Le métissage franco-japonais : originalités, spécificités ?

2019· article· fr· W2961081449 on OpenAlexaboutno aff
Kei Sébastien Miyata, Marie Rose Moro, Marion Feldman

Bibliographic record

VenueL Autre · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
FundersMinistry of Economy, Trade and Industry
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Si le métissage franco-japonais offre une certaine originalité, peu d’études s’intéressent à ce phénomène qui concerne pourtant une population de plus en plus importante en France. L’aspect exclusif de la culture japonaise, le vécu positif par l’ensemble des sujets de leur métissage et la reconnaissance par les tiers d’une affiliation positive à la culture étrangère, apparaissent comme les premiers éléments originaux de ce métissage. L’analyse phénoménologique (IPA) d’entretiens auprès d’un groupe de sujets ayant grandi en France, de mère japonaise et de père français, met en lumière des aspects de la construction identitaire. L’étude s’intéresse au rôle du parent étranger, aux difficultés des métis à saisir et à traiter les questions d’ordre identitaire, mais aussi à l’émergence d’une personnalité complexe.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.075
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.013
Scholarly communication0.0070.006
Open science0.0010.003
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 head0.093
GPT teacher head0.379
Teacher spread0.287 · 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
Published2019
Admission routes1
Has abstractyes

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