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Record W1659274616 · doi:10.26522/ssj.v8i1.1039

The Arab Spring Protests and Concurrent Disability Protests: Social Movement Spillover or Spurious Relationship?

2014· article· en· W1659274616 on OpenAlexvenueno aff
Sharon N. Barnartt

Bibliographic record

VenueStudies in Social Justice · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsSpillover effectDemocracyPolitical scienceSocial movementMovement (music)ConventionPolitical economyPoliticsLawSociologyEconomics

Abstract

fetched live from OpenAlex

Protests from different social movements sometimes coincide, but does that mean that one movement is influencing the other and increasing its “action mobilization,” or are different sets of factors causing the coincident protests? This paper examines that question in reference to two sets of coincident protests: those of people with disabilities and those of the pro-Democracy protests of 2011. It shows that, although disability protests did not start at the same time as the pro-Democracy protests, a number happened during and after, and in close physical proximity to, those protests. Neither set of protests acknowledged or referred to the other. While it is likely that a new law in Egypt and the UN Convention on the Rights of Persons with Disabilities were among the mobilizing factors for people with disabilities, it also appears that the language of “rights” began to diffuse from the pro-Democracy protests to the disability protests.

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)0.009
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.039
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0020.004
Scholarly communication0.0030.003
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.001

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 head0.107
GPT teacher head0.438
Teacher spread0.331 · 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 designObservational
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

Citations8
Published2014
Admission routes1
Has abstractyes

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