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Record W7067439206

Le discours sur la migration dans la presse en Europe et au Canada : Analyse comparative de corpus anglophones et francophones

2017· dissertation· fr· W7067439206 on OpenAlexaboutno aff

Bibliographic record

VenueArchive ouverte UNIGE (University of Geneva) · 2017
Typedissertation
Languagefr
FieldEngineering
TopicMineral Processing and Grinding
Canadian institutionsnot available
Fundersnot available
KeywordsFrenchImmigrationContext (archaeology)National identity
DOInot available

Abstract

fetched live from OpenAlex

Ce travail vise à observer les différences entre les discours journalistiques portant sur une même thématique, la migration, mais provenant de deux zones géographiques distinctes, le Canada et l'Europe. Cette étude se base sur un corpus anglophone et francophone, composé d'articles de quotidiens canadiens, britanniques et français, traitant du sujet de la crise syrienne. Une analyse de type intra-linguistique est proposée pour comparer, d'une part, la presse anglophone canadienne à la presse britannique, et d'autre part, la presse francophone canadienne à la presse française. Deux séries de termes dénommant les migrants particulièrement significatifs sont analysées : l'étude de leurs cooccurrents et des idées qui leur sont associées permet d'identifier quelques spécificités de chaque zone géographique. Les enjeux politiques liés à l'accueil de migrants au Canada et la proximité de l'Europe avec les zones de conflit apparaissent comme des facteurs influençant le discours médiatique sur la crise migratoire syrienne.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.014
Science and technology studies0.0060.003
Scholarly communication0.0050.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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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Same venueArchive ouverte UNIGE (University of Geneva)Same topicMineral Processing and GrindingFrench-language works237,207