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Record W2872272331 · doi:10.71781/8709

Entre genre, race et nation : vers une nationalité hybridée : le cas des métis franco-vietnamiens «abandonnés» en Indochine française lors de l’entre-deux-guerres

2017· dissertation· fr· W2872272331 on OpenAlexaboutno aff
Jérémie Deschênes-Boutin

Bibliographic record

VenueOpen MIND · 2017
Typedissertation
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La question métisse en Indochine française est un sujet complexe sur lequel plusieurs auteurs ce sont attardés, mais qui constitue encore un riche terrain de recherches et d’analyses pour les historiens de la colonisation. Ce mémoire tente d’explorer les multiples dialogues et interactions entre la sphère publique indochinoise urbaine s’exprimant en langue française et les pouvoirs coloniaux métropolitains en ce qui a trait au traitement des enfants métis franco-vietnamiens considérés comme « abandonnés » lors de l’entre-deux-guerre. Il tend ainsi à démontrer l’utilisation politique faite de la question métisse par les pouvoirs français dans l’optique d’une légitimation coloniale visant à pérenniser leur système de domination. Dans ce processus, plusieurs réflexions journalistiques, témoignages et objets de propagande ont été confrontés au discours gouvernemental officiel afin de dresser un tableau holistique et synthétique des multiples ambiguïtés inhérentes au déploiement de la stratégie coloniale française en Asie du sud-est : la « mission civilisatrice ».

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)0.006
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 score0.261
Threshold uncertainty score0.519

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0140.016
Scholarly communication0.0110.007
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.000

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 head0.025
GPT teacher head0.283
Teacher spread0.259 · 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
Published2017
Admission routes1
Has abstractyes

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