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Record W1695463825 · doi:10.3233/wor-2007-00615

Interdisciplinary team discussion on work environment issues related to low back disability: A multiple case study

2007· article· en· W1695463825 on OpenAlexaffabout
Katia Maciel Costa-Black, Marie‐José Durand, Daniel Imbeau, Raymond Baril, Patrick Loisel

Bibliographic record

VenueWork · 2007
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsInstitut de recherche Robert-Sauvé en santé et en sécurité du travailHôpital Charles-Le MoyneUniversité de SherbrookePolytechnique Montréal
Fundersnot available
KeywordsRehabilitationWork (physics)Sick leavePsychological interventionPerspective (graphical)Applied psychologyConceptual frameworkProcess (computing)Qualitative researchLow back painPsychologyMedical educationMedicineKnowledge managementNursingEngineeringPhysical therapySociologyComputer scienceAlternative medicine

Abstract

fetched live from OpenAlex

From both a social and cost-benefit perspective, disability prevention and associated management strategies for assisting employees with back pain are only successful if they address critical return-to-work (RTW) determining factors present in the workplace, including ergonomic factors. Despite our current knowledge of the importance of an integrated team approach targeting these factors, questions remain regarding the conceptual framework adopted by contemporary rehabilitation teams as it relates to work-oriented interventions to accommodate employees back to work. The purpose of this study was to explore and describe the work environment issues discussed by an interdisciplinary team engaged in the work rehabilitation process of low back disability cases. A qualitative content analysis was conducted for 10 sample cases that underwent a rehabilitation program in Quebec (Canada). Drawing on the results of these analyses, a framework representing a synopsis of practitioners' involvement in the person-environment dynamic is presented and discussed. This study makes a unique contribution to the understanding of the 'real-life' content of an interdisciplinary activity in disability management, thus, helping rehabilitation practitioners to build knowledge on the practical application of a cross-disciplinary framework to address work environment issues during the RTW process of those patients sick-listed due to back pain.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.012
GPT teacher head0.318
Teacher spread0.306 · 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 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

Citations17
Published2007
Admission routes2
Has abstractyes

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