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Record W3199279345 · doi:10.18061/dsq.v41i3.8396

Expanding the meaning of citizenship: "evacuation" of people with disabilities in Russia from the institutions during COVID-19

2021· article· en· W3199279345 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDisability Studies Quarterly · 2021
Typearticle
Languageen
FieldMedicine
TopicHealthcare Systems and Public Health
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCitizenshipCoronavirus disease 2019 (COVID-19)Public relationsLegislaturePolitical scienceContext (archaeology)ExpeditingBusinessPublic administrationSociologyPoliticsMedicineEconomicsLawManagement

Abstract

fetched live from OpenAlex

In the wake of COVID-19, non-profit organizations that focus on providing social support services in Russia consolidated their efforts to take proactive measures to change internaty 1, the system of institutions for people with physical, mental, and intellectual disabilities. As a result of advocacy efforts by the non-profit organizations, 26 people from these institutions were evacuated and provided with temporary assisted housing. The decision to act proactively to prevent the spread of the virus among the residents of the institutions is indicative of the galvanized efforts of the non-profit sector to advocate for deinstitutionalization and assisted living. COVID-19 served as an opportunity for the non-profit organizations to emphasize the need for expediting deinstitutionalization reform. Drawing on media sources, the literature on disability and advocacy in Russia, and the conceptual framework of citizenship, this paper will provide an overview of the internaty system, analyze the legislative context of disability and COVID-19, and discuss the context of deinstitutionalization advocacy in Russia.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.288
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.106
GPT teacher head0.392
Teacher spread0.286 · 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