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Record W1693465620 · doi:10.15453/0191-5096.3564

Representations of Homelessness in Four Canadian Newspapers: Regulation, Control, and Social Order

2010· article· en· W1693465620 on OpenAlexaboutno aff
Barbara Schneider, Kerry Chamberlain, Darrin Hodgetts

Bibliographic record

VenueThe Journal of Sociology & Social Welfare · 2010
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperNarrativeCitizenshipOptimismSociologyGender studiesInclusion (mineral)Media studiesCriminologyPolitical scienceSocial psychologyPsychologyLaw

Abstract

fetched live from OpenAlex

This article reports on a content analysis of homelessness representations in four Canadian newspapers: two city broadsheets, one city tabloid, and one national newspaper. Clear differences between the papers emerged showing that in general coverage of homelessness in Calgary was much more positive than coverage in Vancouver. It conveyed a stronger sense of crisis or urgency and a stronger sense of optimism that the problem should and can be solved. Experts dominate public discourse about homelessness, with people who experience homelessness themselves marginalized as speakers. Despite these differences, the four papers present a unified narrative of homelessness in which readers are exhorted to be sympathetic to the plight of homeless people while at the same time, 'they' are presented as needing to be controlled and regulated in order to maintain social order. This narrative has implications for citizenship and social inclusion of people who experience homelessness.

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)0.003
metaresearch head score (Gemma)0.016
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 score0.177
Threshold uncertainty score0.356

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0130.016
Science and technology studies0.0130.007
Scholarly communication0.0090.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.366
Teacher spread0.339 · 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

Citations52
Published2010
Admission routes1
Has abstractyes

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