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Record W2792863801 · doi:10.7202/1043573ar

Au-delà d’une fenêtre d’opportunité ? Expliquer le (re)cadrage des actions collectives de la diaspora tamoule depuis 2009

2018· article· fr· W2792863801 on OpenAlexaffvenue
Alexie Labelle

Bibliographic record

VenuePolitique et Sociétés · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Nous observons, depuis la fin officielle du conflit sri lankais en 2009, un recadrage des actions collectives de la diaspora tamoule, caractérisé par un discours de reconnaissance du génocide. Ce dernier marque une rupture importante avec le discours d’indépendance des Tigres de libération de l’Eelam tamoul (LTTE), prédominant pendant le conflit. L’objectif de cet article est d’expliquer ce recadrage en mobilisant la littérature sur les mouvements sociaux et l’action collective, particulièrement les concepts de fenêtre d’opportunité et de structures mobilisatrices. À l’aide d’une analyse de cadrage qualitative, nous avons retracé, sur la plateforme Tamilnet.com, le discours de cinq acteurs collectifs diasporiques tamouls de 2000 à 2015. Nous soutenons ainsi que la fenêtre d’opportunité demeure à elle seule insuffisante pour expliquer le recadrage. En revanche, nous démontrons que ce changement s’explique plutôt par l’émergence de nouveaux acteurs collectifs, eux-mêmes porteurs d’un nouveau discours.

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 score0.027
Threshold uncertainty score0.054

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 studies0.0080.020
Scholarly communication0.0070.006
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.153
GPT teacher head0.456
Teacher spread0.303 · 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
Published2018
Admission routes2
Has abstractyes

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