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Record W2988828824 · doi:10.4000/remi.12995

Securitization Theory and the Relationship between Discourse and Context: A Study of Securitized Migration in the Canadian Press, 1998-2015

2019· article· en· W2988828824 on OpenAlex
Elsa Vigneau

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueRevue européenne de migrations internationales · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsImmigrationConceptualizationSecuritizationNewspaperPopulationSociologyContext (archaeology)Political scienceHumanitiesWelfare economicsGeographyDemographyMedia studiesLawEconomicsArt

Abstract

fetched live from OpenAlex

This article addresses the problem of the significance of empirical variation in security moves towards immigration and the consequent question of the role of context in securitization theory. Drawing on the analysis of a set of 4,464 newspaper articles published by La Presse and the National Post on the subject of international immigration to Canada between January 1, 1998, and December 31, 2015, it investigates the link between the frequency with which these two Canadian broadsheet dailies depict immigration as a threat to the physical well-being of the state or its population and the occurrence of six major migratory events. It finds that the saliency of security discourse on immigration in the written press is strongly and positively impacted by the incidence of such events. The paper also proposes further conceptualization of the cohabitation and complementarity between exceptional and routinized securitization practices.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score0.753

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.038
GPT teacher head0.340
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