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Record W2397440845 · doi:10.1177/1557988316632297

Meaning of Staring and the Starer–Staree Relationship Related to Men Living With Acquired Spinal Cord Injuries

2016· article· en· W2397440845 on OpenAlexafffund
Rebecca Renwick, Karen Yoshida, Elizabeth Eacrett, Natalie Rose

Bibliographic record

VenueAmerican Journal of Men s Health · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsUniversity of Toronto
FundersOntario Neurotrauma Foundation
KeywordsStaringMeaning (existential)PsychologyContext (archaeology)Social psychologyDevelopmental psychologyPsychotherapistCommunicationGeography

Abstract

fetched live from OpenAlex

When in public places, many individuals with physical disabilities experience staring. Although staring is typically seen as uncomplicated and something to be "ignored," it has consequences for the person being stared and the staree. Few studies have focused on staring experienced by men following spinal cord injury (SCI). Accordingly, this study explored how adult men with SCI give meaning to the staring from others, the consequences for them, and their responses to the staring and to the starer. Principles of modified grounded theory methods were used to conduct a secondary analysis of interview data for 30 male participants from a larger study of community-dwelling individuals with SCI. Themes revealed through analysis related to context-dependent meanings of staring, negative consequences of staring for some men, and positive opportunities for self-growth and interaction with the public. These findings contribute to a more complex understanding of staring and the relationship between the starer and staree in various social circumstances which can support people living with differences in their public interactions, and improve their quality of life.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score0.696

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.028
GPT teacher head0.358
Teacher spread0.330 · 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
Published2016
Admission routes2
Has abstractyes

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