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Record W3204440414 · doi:10.1177/10596011211044581

Perceived Support Profiles in the Workplace: A Longitudinal Perspective

2021· article· en· W3204440414 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGroup & Organization Management · 2021
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsConcordia University
Fundersnot available
KeywordsPsychologySupervisorSample (material)Social psychologyPerceptionPerspective (graphical)Occupational stressClinical psychologyApplied psychologyManagement

Abstract

fetched live from OpenAlex

This research examines how employee’s perceptions of three sources of support in the workplace (i.e., organization, supervisor, and colleagues) combine within specific profiles and the nature of the relations between these profiles and indicators of employees’ psychological health (i.e., stress, sleep problems, psychosomatic strains, and depression). Furthermore, this research examines the within-sample and within-person stability of the identified support profiles over the course of an 8-month time interval. Latent profile and latent transition analyses conducted on a sample of 729 workers indicated six identical profiles across the two measurement occasions: 1, moderately supported; 2, weakly supported; 3, isolated; 4, well-supported; 5, supervisor supported; and 6, highly supported. Profile membership was very stable over time for most profiles, with the exception of the isolated profile which was only moderately stable. Furthermore, the isolated and supervisor-supported profiles presented the lowest levels of psychological health, while the well-supported and moderately supported profiles presented the highest levels of psychological health. Of particular interest, results suggested that some risks might be associated with the highly supported profile, although this result could be a simple reflection of the women-dominant composition of this profile. This research has implications for theory and practice, which will be discussed in the article.

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.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
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
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.022
GPT teacher head0.345
Teacher spread0.323 · 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