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Record W4225748941 · doi:10.16993/sjdr.859

Tradeoffs in Visual Impairment Rehabilitation: Hearing Service User Accounts of Rehabilitative Relationships and Organisational Culture in South Africa

2022· article· en· W4225748941 on OpenAlexaff
Michelle Botha, Brian Watermeyer

Bibliographic record

VenueScandinavian Journal of Disability Research · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsCentre for Disability Prevention and Rehabilitation
Fundersnot available
KeywordsRehabilitationAgency (philosophy)Service (business)Value (mathematics)Visual impairmentPsychologyOrder (exchange)Applied psychologyPublic relationsSociologyBusinessComputer sciencePolitical scienceMarketingPsychiatrySocial science

Abstract

fetched live from OpenAlex

In order to access skills for adjusting to visual impairment (VI), individuals are drawn into the fabric of rehabilitation organisations and into relationships with rehabilitation workers. Through prioritising rehabilitation service user perspectives, this paper explores the question of what might be imparted to those undergoing VI rehabilitation about their value, their status and their place in the world. Foucauldian discourse analytic reviews were conducted on semi-structured interviews with 18 rehabilitation service users and 8 service providers at 4 rehabilitation organisations in South Africa. While much of value is gained in rehabilitation, service user accounts shed light on a series of tradeoffs individuals are exposed to, such as relationships, practices and structures within which they may also feel as though they are losing something fundamental related to agency and social status. In rehabilitation, individuals can receive powerful signals about who they are, which they are likely to carry forward into their lives.

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)0.016
metaresearch head score (Gemma)0.004
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 score0.066
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.103
GPT teacher head0.411
Teacher spread0.308 · 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 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
Published2022
Admission routes1
Has abstractyes

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