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Record W2972251789 · doi:10.1080/00221546.2019.1587977

News Media Representations of International and Refugee Postsecondary Students

2019· article· en· W2972251789 on OpenAlexaffabout
Tim Anderson

Bibliographic record

VenueThe Journal of Higher Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsInternationalizationFraming (construction)Thematic analysisHigher educationPolitical scienceSociologyPublic relationsPedagogyQualitative researchSocial scienceBusinessGeography

Abstract

fetched live from OpenAlex

Postsecondary institutions in the global north have rapidly internationalized, driven mainly by the proliferation of international students and responses to these changing demographics. This internationalization has captured attention across various platforms, including increased media focus directed toward these students and the primary and ancillary influences of their participation in PSIs and surrounding communities. The project explored in this paper examines this phenomenon by connecting internationalization of higher education research with insights from critical media studies and framing theory to investigate news media representations of international and refugee students’ participation in Canadian universities and colleges. A critical thematic analysis was performed on 391 news media texts published between 2000 and 2017. Findings reveal the Canadian news media’s tendency to construct issues related to international students and internationalization into one or a combination of four broad macrothemes: (1) Canada as benevolent and ideal; (2) international students and internationalization as commodified assets; (3) international students and internationalization as threats; and (4) the strategic neutrality of data.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.013
GPT teacher head0.386
Teacher spread0.372 · 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 teacher head, not a consensus.

Study designObservational
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

Citations18
Published2019
Admission routes2
Has abstractyes

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