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Record W4247852211 · doi:10.5040/9781509930760

The Legacies of Institutionalisation

2020· book· en· W4247852211 on OpenAlexaboutno aff

Bibliographic record

VenueHart Publishing eBooks · 2020
Typebook
Languageen
FieldSocial Sciences
TopicFeminism, Gender, and Sexuality Studies
Canadian institutionsnot available
Fundersnot available
KeywordsInstitutionalisationOppressionPoliticsPolitical sciencePopulationPublic administrationSociologyPolitical economyLaw

Abstract

fetched live from OpenAlex

This is the first collection to examine the legal dynamics of deinstitutionalisation. It considers the extent to which some contemporary laws, policies and practices affecting people with disabilities are moving towards the promised end point of enhanced social and political participation in the community, while others may instead reinstate, continue or legitimate historical practices associated with this population’s institutionalisation. Bringing together 20 contributors from the UK, Canada, Australia, Spain and Indonesia, the book speaks to overarching themes of segregation and inequality, interlocking forms of oppression and rights-based advancements in law, policy and practice. Ultimately this collection brings forth the possibilities, limits and contradictions in the roles of law and policy in processes of institutionalisation and deinstitutionalisation, and directs us towards a more nuanced and sustained scholarly and political engagement with these issues.

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)0.012
metaresearch head score (Gemma)0.014
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 score0.022
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.014
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0130.121
Scholarly communication0.0220.017
Open science0.0020.016
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0040.001

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 head0.115
GPT teacher head0.321
Teacher spread0.206 · 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

Citations8
Published2020
Admission routes1
Has abstractyes

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