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Record W1928915840

Locked Closets and Fish Bowls: Self-Disclosing Disabilities

2012· article· en· W1928915840 on OpenAlexaff
Fiona Cheuk

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Policies
Canadian institutionsYork University
Fundersnot available
KeywordsIdentity (music)CitizenshipContext (archaeology)SituatedSociologyPoliticsSocial psychologyInterpersonal communicationPsychologyPolitical scienceLawAesthetics
DOInot available

Abstract

fetched live from OpenAlex

The dominant assumption about self-disclosure asserts that sharing information about oneself is solely a matter of individual choice. However in the context of identity disclosures, the aspect of self that is being disclosed is attached to the backdrop of the socio-political environment of which the act and agent are situated in. In this regard, it becomes questionable whether people disclosing socially stigmatized and devalued identities such as disability are truly matters of individual freedoms around choice making. This paper aims to highlight how opportunities for discussing experiences and issues involving one’s disability identity are limited to formalized institutional spaces or silenced in informal spaces due to the authority of medical cognition around disability within western societies. This lessens the control and authority of disabled people over the way in which disability is understood within the society as a homogenized identity defined through third-party authorities and cannot reflect the complex and nuanced identities formed through lived experiences. By examining the parameters of self-disclosure surrounding opportunities to claim and discuss one’s identity with the inclusion of disability(ies), discourses of self-disclosure can be pushed towards informal interpersonal spaces rather than limited formal spaces so as to weaken the attitudinal barriers which form the basis for disabling social structures and creates unequal citizenship. Keywords: self-disclosure, disability, identity-politics, freedom of choice, citizenship.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.673
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.034
GPT teacher head0.346
Teacher spread0.313 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2012
Admission routes1
Has abstractyes

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