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Record W1932728072 · doi:10.3917/mult.030.0057

Survivre au désastre

2007· article· fr· W1932728072 on OpenAlexaff
Barbara Glowczewski

Bibliographic record

VenueMultitudes · 2007
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesArtEthnologySociology

Abstract

fetched live from OpenAlex

Résumé Les communautés aborigènes d’Australie souffrent d’exil dans leur propre pays, et deviennent de plus en plus comme des « réfugiés de l’intérieur ». À l’instar des camps de réfugiés, elles sont non seulement assaillies par les consultants des très nombreuses instances du gouvernement australien mais, de plus en plus, par des pouvoirs ou des représentants du marché global. Si face à ce monde globalisé, les Aborigènes expérimentent quotidiennement les articulations hybrides entre technologie moderne et mode de vie nomade, les situations locales configurées par deux siècles d’histoire coloniale restent le plus souvent dramatiques. Les douleurs de ces situations quotidiennes culminent dans des événements violents et tragiques, comme à Palm Island où des émeutes ont éclaté à la suite de la mort en détention d’un Aborigène ; événements qui condensent les rapports de la société australienne aux communautés aborigènes. Comment donc expliquer que les Aborigènes qui sont restés entre eux et ceux qui furent dispersés puissent vivre la même désolation aujourd’hui ? Pour répondre à cette question qui touche tous les peuples autochtones en Australie ou ailleurs, il convient de se placer dans la perspective d’une anthropologie de la survie au désastre, non comme esthétique du malheur et de la vie nue mais comme éthique d’espoir.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.062
Threshold uncertainty score0.206

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.005
Scholarly communication0.0040.004
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0620.013

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 head0.054
GPT teacher head0.372
Teacher spread0.318 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2007
Admission routes1
Has abstractyes

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