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Record W4220777671 · doi:10.1080/21528586.2022.2035806

Portrayal of Housing Issues of Refugees and Asylum Seekers in Two South African Newspapers

2020· article· en· W4220777671 on OpenAlexaff
Solina Richter, Annali Botha

Bibliographic record

VenueSouth African Review of Sociology · 2020
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of SaskatchewanUniversity of Alberta
FundersUniversity of South Africa
KeywordsRefugeeNewspaperXenophobiaPolitical scienceCriminologyGender studiesSociologyRacismLaw

Abstract

fetched live from OpenAlex

Newspapers are important sources of information related to the issues of refugees and asylum seekers. Seeking asylum in South Africa is challenging because of a hostile sentiment towards non-citizens. The study focused on answering the following research question: How were housing and homelessness related to asylum seekers and refugees portrayed in two South African newspapers from August 2015 to August 2017? A cross-sectional descriptive design was used. The method that was used was media content analysis. We selected South African newspaper articles reporting on refugees and asylum seekers and housing and homelessness issues. Our main findings focus on the themes that emerged from the newspapers, namely: reasons for becoming refugees or migrants, shelter issues, involvement and responsibilities of others in housing refugees, issues that impact housing, and xenophobia and housing.

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
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 head0.030
GPT teacher head0.353
Teacher spread0.323 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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