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“The Dirty Scruff”: Relief and the Production of the Unemployed in Depression‐era British Columbia

2012· article· en· W2150856551 on OpenAlexaffabout
Michael Ekers

Bibliographic record

VenueAntipode · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsUnemploymentNexus (standard)IdeologyPoliticsMeaning (existential)Poor reliefGreat DepressionUrbanizationSociologyFull employmentDepression (economics)Economic growthPolitical economyPolitical scienceEconomicsPovertyLawPsychology

Abstract

fetched live from OpenAlex

Abstract: In this article, I examine this nexus between the social and political meaning of unemployment and the political responses that follow. I focus on Depression‐era Vancouver and investigate the broad ideologies, representations and practices that contributed to the derision of the unemployed, which in turn, informed the establishment of rural relief camps that aimed to address the unemployment crisis of the 1930s. The social and political meaning of unemployment shaped the contours of the Federal Unemployment Relief Scheme, which housed men in work camps and aimed to both discipline and rehabilitate the unemployed. However, the relief camps were plagued by several contradictions exploited by the Relief Camp Workers Union, which constructed oppositional understandings of unemployment. In discussing the relationship between unemployment and relief I attend to questions of space, highlighting the urbanisation of unemployment and the ideological distinctions between the city and the country.

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)0.002
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 score0.050
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.005
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.009
GPT teacher head0.246
Teacher spread0.237 · 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

Citations5
Published2012
Admission routes2
Has abstractyes

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