MétaCan
Menu
Back to cohort
Record W7052716256

‘Someone Else’s Problem’: Behaviour in Communal Kitchens as an Expression of Social Support in the Workplace

2018· other· en· W7052716256 on OpenAlexfundno aff

Bibliographic record

VenueUSC Research Bank (University of the Sunshine Coast) · 2018
Typeother
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
FundersKing's College LondonNational Institute for Health and Care ResearchFundação para a Ciência e a TecnologiaU.S. Department of DefenseTrent UniversityLondon School of Economics and Political ScienceMenzies Centre for Australian Studies, King's College London, University of LondonNottingham Trent UniversityNational Institute for Occupational Safety and HealthPortland State University
KeywordsSocial supportJob satisfactionJob attitudeWork (physics)Sample (material)Multilevel modelExploratory factor analysisLocus of control
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Social support is central to theories about the workplace, with positive interactions buffering work demands and stressors. The current study explored whether active and cheerful involvement in shared workplace kitchens can be considered as distinct forms of social support and further increase the individuals’ own job satisfaction and organisational commitment, over and above more common and general measures of job social support. Methods: Volunteers (N=103, 90.3% female) completed an online survey about interactions with colleagues in communal workplace kitchens, along with measures of work climate and job social support (e.g., ‘if necessary, can you ask your co-workers for support?’), demographics, work locus of control (WLoC), and the outcomes of job satisfaction and organisational commitment. Following exploratory factor analysis (EFA) of the kitchen behaviours, hierarchical multiple regressions (HMRs) were used to find if these behaviours first, directly predicted job satisfaction and organisational commitment, and second, predicted the outcomes over and above age, WLoC, job social support, and work climate. Results: Participants ranged from 23 to 65 years (M=41.8, SD=11.0), were mostly married or living with their partner (71.6%), and worked from 7 to 70 hours/week (M=37.6, SD=12.8) in wide variety of occupations (mostly in education (31.4%) or health (29.4%)). Despite the modest sample size, the EFA showed good fit (KMO=.801, explaining 55.7% variance) for four factors; two positive – ‘Collegiality’ (e.g., ‘it feels like a genuine team’) and ‘Participation’ (e.g., ‘I participate in the social activities in my work area’) and two negative – ‘Messy kitchen’ (e.g., ‘kitchen never stays clean long’) and ‘it’s Someone Else’s Problem’ (e.g., ‘the cleaners should be looking after the kitchen’). Correlations were in expected directions. In the first HMR, the four factors explained substantial variance in job satisfaction (35.9%) and organisational commitment (40.9%), and both outcomes were strongly predicted by greater collegiality and where the kitchen was not ‘someone’s else’s problem’. The second HMRs again explained substantial variance (job satisfaction, 68.2%, organisational commitment, 55.9%). Collegiality remained a significant predictor of both outcomes, with the effect of ‘It’s Someone Else’s Problem’ meditated by internal WLoC. Both outcomes were predicted by greater internal WLoC, and where participants reported greater collegiality and a positive work climate, with job satisfaction additionally predicted by older age and more job social support. Discussion: The current study found that social support, specifically as collegiality or more generally as positive work climates and reliable managers and co-workers, and internal work locus of control strongly and positively predicted both satisfaction and commitment to one’s job. The additional items about being pleasantly involved with work colleagues and specifically to be helpful around the communal work kitchen added to the explanation of social support. The items also indicate areas in which interventions could target work cultures, such as fostering team cohesion and collegiality as well as encouraging fun within the work environment. Future research will test the structure of the factors of kitchen behaviours in larger populations, and in samples that include more men, to confirm the factor structure and usefulness of the new scales.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.387
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.289
Teacher spread0.254 · 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 designNot applicable
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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueUSC Research Bank (University of the Sunshine Coast)Same topicLaser Design and ApplicationsFrench-language works237,207