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Record W4297237954 · doi:10.1111/area.12830

‘My room is like my sanctuary’: Exploring homelessness and home(un)making in the austere city

2022· article· en· W4297237954 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueArea · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsTrinity College
FundersStrong
KeywordsAusterityGovernment (linguistics)SociologyHome frontDynamismPolitical scienceGender studiesEconomic growthLawEconomicsPolitics

Abstract

fetched live from OpenAlex

Abstract Since austerity policies in the UK began in 2010, homelessness has risen rapidly. Drawing from feminist geographical theories and methodologies, this paper examines experiences of homelessness under austerity in Haringey, London through photo‐elicitation research with one participant, Tessa. This paper argues that home(un)making—the constantly shifting balance of homemaking and unmaking—is central to everyday experiences of, and resistance to, austerity. The paper first demonstrates how Tessa resists austerity through practices of homemaking that enable her to cope with the difficulties of homelessness at a time of austerity. Next, it explores how Tessa's relationships with other actors in the homeless shelter—other residents and government officials—contributed to processes of home‐unmaking, exacerbating the hardships she experiences. By developing the concept of home(un)making, therefore, this paper aims to show the dynamism of home for homeless people under austerity.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.146
GPT teacher head0.381
Teacher spread0.235 · 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