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Record W6990255467

Couverture médiatique canadienne et discours transnationaux sur la migration humaine : la crise des migrants et des réfugiés de 2015-2016 en Europe

2024· article· en· W6990255467 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuetheses.fr (ABES) · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Exile Studies
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationContext (archaeology)NewspaperNationalityFrench
DOInot available

Abstract

fetched live from OpenAlex

Cette thèse analyse la manière dont les journaux canadiens ont couvert la crise migratoire et des réfugiés en Europe (2015-2016) et explore le rôle des médias dans l’élaboration des discours sur les migrations humaines transnationales. La « crise » des réfugiés et migrants désigne une période d’afflux massif de populations du Moyen-Orient et d’Afrique vers l’Europe, marquée par des débats politiques, sociaux et médiatiques intenses.L’objectif principal est :1. Remédier aux lacunes dans la littérature académique sur les discours médiatiques canadiens liés aux migrations européennes.2. Étudier les médias comme « acteurs discursifs » capables de modeler les perceptions publiques et les politiques.Elle montre que les récits médiatiques canadiens autour de cette crise ont eu des répercussions importantes sur la compréhension et la réponse du Canada, notamment à travers le programme de réinstallation des réfugiés syriens.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.879
Threshold uncertainty score0.893

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.336
Teacher spread0.313 · 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