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Toward an Explanatory Model of Social Participation for Adults With Traumatic Brain Injury

2004· article· en· W2066649759 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

VenueJournal of Head Trauma Rehabilitation · 2004
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversité LavalQuebec Automobile Insurance Corporation
Fundersnot available
KeywordsDynamismPsychologyTraumatic brain injuryExploratory researchPopulationClinical psychologyIntervention (counseling)MedicinePsychiatryEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVE: To identify resiliency factors that could improve social participation for adults with traumatic brain injury. DESIGN: Cross-sectional single measurement, correlational and exploratory study, including quantitative and qualitative data. PARTICIPANTS: Fifty-three community-dwelling people with sequelae of traumatic brain injury, individually interviewed, which included filling out questionnaires and answering open-ended questions. MAIN MEASURES: Social participation, self-efficacy, and positive mental states. RESULTS: Dynamism, self-efficacy, and will account for 51% of the variance in social participation and are the main resiliency factors. Fatigue is one of the sequelae that pose the greatest challenge to self-efficacy and limit social participation. CONCLUSION: Resiliency factors constitute a target for research and intervention for this population.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.594
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.115
GPT teacher head0.409
Teacher spread0.294 · 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