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Record W2043115647 · doi:10.3109/09638288.2011.553708

The social interaction of return to work explored from co-workers experiences

2011· article· en· W2043115647 on OpenAlexfundno aff
Åsa Tjulin, Ellen MacEachen, Elinor Edvardsson Stiwne, Kerstin Ekberg

Bibliographic record

VenueDisability and Rehabilitation · 2011
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsWork (physics)Process (computing)Task (project management)Exploratory researchQualitative researchPsychological interventionPublic relationsSocial workPsychologySocial psychologyBusinessSociologyPolitical scienceManagementComputer scienceEconomicsEngineeringEconomic growth

Abstract

fetched live from OpenAlex

PURPOSE: The objective was to explore the role and contribution of co-workers in the return-to-work process. The social interaction of co-workers in the return-to-work process are analysed within the framework of the Swedish national and local employer organisational return-to-work policies. METHODS: An exploratory qualitative method was used, consisting of open-ended interviews with 33 workplace actors across seven work units. Organisational return-to-work policies were collected from the three public sector employers. RESULTS: The key findings that emerged during analysis showed that some co-workers have a more work-task oriented approach towards the return-to-work process, whilst others had a more social relational approach. In both situations, the social relations worked hand in hand with job tasks (how task were allocated, and how returning workers were supported by others) and could make or break the return-to-work process. CONCLUSION: A suggestion for improvement of return-to-work models and policies is the need to take into account the social relations amongst workplace actors, especially involving co-workers when planning for return-to-work interventions. Otherwise the proper attention to work arrangements, social communication and the role of co-workers in the return-to-work process might not be seen.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.781

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.092
GPT teacher head0.424
Teacher spread0.332 · 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

Citations73
Published2011
Admission routes1
Has abstractyes

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