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Record W2499571031 · doi:10.1057/978-1-137-51623-7_7

Disabling Cities and Repositioning Social Work

2016· book-chapter· en· W2499571031 on OpenAlexaff
Michael J. Prince

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2016
Typebook-chapter
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSolidarityAbleismCitizenshipSocial exclusionPower (physics)Work (physics)Inclusion (mineral)SociologyConstitutionSocial model of disabilityPolitical scienceGender studiesPsychologyLawPolitics

Abstract

fetched live from OpenAlex

The author explores the relationship between modern cities, people with disabilities and social work practices. Disability in cities links closely to the constitution of urban power and the composition of the urban landscape. The central arguments of this chapter are that all cities are disabling cities; that, for people with disabilities, city life is marked by much exclusion and some inclusion; that disability organizations constitute a social movement in pursuit of equality and rights of citizenship; and that the association between social work and disability has been a troubled one, although their relationship is shifting to more one of solidarity over core values, advocacy principles and reform goals. Social work is repositioning itself with a rights-based approach, informed by critical theory, challenging urban practices of ableism and marginalization.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.034
Scholarly communication0.0100.008
Open science0.0010.012
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.059
GPT teacher head0.314
Teacher spread0.254 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

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