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Activism, Inclusion, and Social Justice

2021· book-chapter· en· W3216581151 on OpenAlexaff
Michael J. Prince

Bibliographic record

VenueOxford University Press eBooks · 2021
Typebook-chapter
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPoliticsPolitical scienceSocial movementAgency (philosophy)Redistribution (election)DemocracyHuman rightsSociologySocial scienceLaw

Abstract

fetched live from OpenAlex

Abstract This chapter considers the relations between disability and the political in contemporary societies. This includes a discussion of possibilities of human agency and social movement capacities in the disability field. The analysis discusses several models of disability and statuses of bodies, which are evident in theory, movement advocacy, and public policy. These are the personal tragedy and worthy poor model, the biomedical model, the social model, the human rights model, and the psychoemotional model of disability. The chapter then examines activism as a repertoire of activities and roles taking place in various jurisdictional spaces and territorial scales of mobilization. The chapter next analyzes three forms of social injustices and advocacy strategies pursued by contemporary disability rights movements: activism centered on recognition, redistribution, and representation. Concluding observations call on the need to examine disability and the struggle for social justice in relation to a politics of cultural recognition and identity, a politics of socioeconomic redistribution of material goods and services, and a politics of democratic representation that combines conventional and alternative modes of decision-making. Over time, the mix and style of activism may shift at the level of the individual or family, the agency or movement organization, or the national and international sectors. This gives disability activism and the struggle for social justice dynamic qualities enacted through symbolic, materialist, and political concerns in interaction with public and private authorities.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.015
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.036
GPT teacher head0.271
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

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 designTheoretical or conceptual
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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueOxford University Press eBooksSame topicDisability Rights and RepresentationFrench-language works237,207