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Record W2465687542 · doi:10.3233/jvr-160814

Self-efficacy as a mediator for the relationship between secure attachment style and employment status in individuals with spinal cord injuries

2016· article· en· W2465687542 on OpenAlexaboutno aff
Emre Umucu, Beatrice Lee, Jia-Rung Wu, Fong Chan, John Blake, Jessica Brooks, Denise Catalano

Bibliographic record

VenueJournal of Vocational Rehabilitation · 2016
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsnot available
FundersNational Institute on Disability, Independent Living, and Rehabilitation ResearchVirginia Commonwealth University
KeywordsMediatorPsychologyStyle (visual arts)Spinal cordClinical psychologyDevelopmental psychologyMedicinePsychiatryInternal medicineHistory

Abstract

fetched live from OpenAlex

PURPOSE: To evaluate the mediation effect of self-efficacy on the relationship between secure attachment and employment status of people with spinal cord injuries (SCI). DESIGN: Quantitative descriptive research design using logistic regression, multiple regression, and correlational techniques. METHODS: One hundred and ninety individuals with SCI were recruited from the Canadian Paraplegic Association. Only individuals ages between 25–54 years (prime working age) were selected for this study. RESULTS: Secure attachment and self-efficacy were significantly related to employment status. Self-efficacy was found to be a significant mediator of the relationship between secure attachment and employment status. CONCLUSION: Results provide support for the importance of building a strong working alliance and helping individuals with SCI in the professional practice of rehabilitation counseling.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.054
GPT teacher head0.421
Teacher spread0.368 · 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 source (direct Gemma or distilled Codex), 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

Citations11
Published2016
Admission routes1
Has abstractyes

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