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Record W2122024874 · doi:10.15171/ijoem.2015.608

Social Support and Supervisory Quality Interventions in the Workplace: A Stakeholder-Centered Best-Evidence Synthesis of Systematic Reviews on Work Outcomes

2015· review· en· W2122024874 on OpenAlexafffund
Shannon L. Wagner, Marc White, I. Z. Schultz, Kelly Williams‐Whitt, Corinne V. Koehn, Clermont E. Dionne, Mieke Koehoorn, H G Harder, R Pasca, O Wärje, V Hsu, Lisa E. McGuire, I Lama, Werner F. Schulz, D Kube, MD Wright

Bibliographic record

VenueThe International Journal of Occupational and Environmental Medicine · 2015
Typereview
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsCARE CanadaNative Mental Health Association of CanadaUniversité LavalUniversity of British ColumbiaUniversity of LethbridgeCanadian Institute for the Relief of Pain and DisabilityStantec (Canada)University of Northern British Columbia
FundersWorkSafeBC
KeywordsPsychological interventionSystematic reviewAbsenteeismStakeholderInclusion (mineral)Social supportPsychologyQuality (philosophy)MedicineNursingPublic relationsMEDLINESocial psychologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: There is controversy surrounding the impact of workplace interventions aimed at improving social support and supervisory quality on absenteeism, productivity and financial outcomes. OBJECTIVE: To determine the value of social support interventions for work outcomes. METHODS: Databases were searched for systematic reviews between 2000 and 2012 to complete a synthesis of systematic reviews guided by the PRISMA statement and the IOM guidelines for systematic reviews. Assessment of articles for inclusion and methodological quality was conducted independently by at least two researchers, with differences resolved by consensus. RESULTS: The search resulted in 3363 titles of which 3248 were excluded following title/abstract review, leaving 115 articles that were retrieved and underwent full article review. 10 articles met the set inclusion criteria, with 7 focusing on social support, 2 on supervisory quality and 1 on both. We found moderate and limited evidence, respectively, that social support and supervisory quality interventions positively impact workplace outcomes. CONCLUSION: There is moderate evidence that social support and limited evidence that supervisory quality interventions have a positive effect on work outcomes.

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)0.010
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.809
Threshold uncertainty score0.566

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.640
GPT teacher head0.530
Teacher spread0.110 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations21
Published2015
Admission routes2
Has abstractyes

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