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Record W4285390299 · doi:10.1080/15551393.2022.2096030

Visual Framing of the Rohingya Refugees: A Comparative Examination from Newspapers in four Countries

2022· article· en· W4285390299 on OpenAlexaboutno aff
Bimbisar Irom, Porismita Borah, Stephanie Gibbons

Bibliographic record

VenueVisual Communication Quarterly · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperFraming (construction)RefugeeAppealVulnerability (computing)Political scienceMedia studiesCriminologySociologyGender studiesHistoryLaw

Abstract

fetched live from OpenAlex

Media depictions of refugees play a significant role in determining public attitudes toward policies and dispensation of aid. Given this centrality, the study analyzes prominent visual frames of the Rohingya refugee crisis in newspapers from Pakistan, Bangladesh, the United States, and Canada. We also examine the frames qualitatively. Findings show that overall coverage tended to focus on negative aspects by highlighting refugees’ vast numbers, vulnerability, gendered stereotypes, and dependence on Western benevolence. Results show cross-cultural appeal of frames such as “Exodus” and “mother and child,” both of which have roots in the Biblical tradition. Even though visuals came from different sources, there were not many differences among the newspapers. This suggests the role of standardized journalistic routines across multiple organizations.

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)0.002
metaresearch head score (Gemma)0.008
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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.005
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.346
Teacher spread0.310 · 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

Citations10
Published2022
Admission routes1
Has abstractyes

Explore more

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