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Record W2053076547 · doi:10.1080/02699050410001671874

Returning to productive activities: Perspectives of individuals with long-standing acquired brain injuries

2005· article· en· W2053076547 on OpenAlexafffund
Licia Petrella, Mary Ann McColl, Terry Krupa, Jane Johnston

Bibliographic record

VenueBrain Injury · 2005
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsQueen's University
FundersCanadian Occupational Therapy FoundationOntario Neurotrauma Foundation
KeywordsPhysical medicine and rehabilitationPsychologyAcquired brain injuryActivities of daily livingMedicinePhysical therapyRehabilitation

Abstract

fetched live from OpenAlex

PRIMARY OBJECTIVE: The primary objective of this study was to understand how intrinsic and extrinsic factors influence productive involvement over time. RESEARCH DESIGN: Given this relatively unexplored area of study, an interpretive research paradigm was incorporated using the grounded theory methodology. METHODS AND PROCEDURES: Six participants were recruited based on inclusion criteria. They had been living with a brain injury for an average of 14 years. The primary method of data collection was semi-structured interviews, which was supplemented by programme reports to enhance methodological triangulation. RESULTS: The results revealed that factors influencing involvement in productive activities over time were conceptually linked to learning about one's capacity. These factors involved: an opportunity to try, support and feedback from others, experimenting, and participants' appraisals of themselves. CONCLUSIONS: Recommendations for clinical practice include incorporating the postulates of the social cognitive theory in rehabilitation and moving from a deficits approach towards a strengths model of practice.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.037
GPT teacher head0.349
Teacher spread0.312 · 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.

Study designBench or experimental
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

Citations48
Published2005
Admission routes2
Has abstractyes

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