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Record W4401766484 · doi:10.15402/esj.v10i2.70842

Survival and Resistance: A Zine Study with Young Women and Femmes Experiencing Housing Injustice in Canadian Cities

2024· article· en· W4401766484 on OpenAlexaffvenueabout
Nicole Dunn, Jeffrey Ansloos

Bibliographic record

VenueEngaged Scholar Journal Community-Engaged Research Teaching and Learning · 2024
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsInjusticeResistance (ecology)GerontologySociologyGender studiesPolitical scienceSocioeconomicsMedicine

Abstract

fetched live from OpenAlex

Housing injustice is a serious public health issue among young women and femmes (aged 18-24) in Canada but the research available on this topic seldom centres the voices of people with lived and living experience. This population is marginally visible in the shelter systems; instead their experiences may be described as “hidden homelessness”. This housing typology refers to situations where someone seeks shelter in ways like couch-surfing, car sleeping, or other short-term accommodations that are not typically recognized as responding to housing injustice. Drawing from a methodology of social constructionism, this paper reviews findings from an arts-based inquiry that sought to answer the research question, “what are the survival and resistance strategies that young women and femmes experiencing housing injustice use to support their wellness and engage with life?” Using reflexive thematic analysis, a zine was created and analyzed to reveal five themes: 1). Affective and Psychological Strategies of Resistance; 2). Survival Strategies and Behaviours to Ensure Material Survival; 3). Felt Knowledge About Good Living; 4). Organized Abandonment and Other Normed Chaos; and, 5). Importance of Human Connection, Solidarity, and Radical Care. The strengths and limitations, along with implications for public health policy and research are discussed.

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)0.663
metaresearch head score (Gemma)0.197
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.6630.197
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.3620.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.515
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 head0.166
GPT teacher head0.463
Teacher spread0.297 · 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; both teacher heads agree on what is shown here.

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
Published2024
Admission routes3
Has abstractyes

Explore more

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