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Record W3215202847 · doi:10.1080/00221546.2021.2004810

Occupational Factors and Faculty Well-Being: Investigating the Mediating Role of Need Frustration

2021· article· en· W3215202847 on OpenAlexafffundabout
Zaynab Sabagh, Nathan C. Hall, Alenoush Saroyan, Sarah‐Geneviève Trépanier

Bibliographic record

VenueThe Journal of Higher Education · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsUniversité du Québec à Trois-RivièresMcGill University
FundersFonds de Recherche du Québec-Société et Culture
KeywordsPsychologyFrustrationBurnoutWork engagementWell-beingStructural equation modelingContext (archaeology)Emotional exhaustionSocial psychologyPerceptionWork (physics)Mental healthMedical educationClinical psychologyMedicinePsychotherapist

Abstract

fetched live from OpenAlex

Research evidence suggests that faculty members’ well-being is a serious concern in academia. However, little is known about the academic job demands and resources, which are specific to the professional context and faculty work, that influence faculty well-being. Moreover, the psychological processes how job characteristics lead to well-being outcomes among faculty are to date underexamined. We addressed these gaps and investigated the mediating impact of frustration of basic psychological needs on the relationship between academic job factors and faculty well-being. Survey data were collected from 592 faculties employed in 13 Canadian research-intensive universities. The questionnaire measured faculty perceptions of a) pressure and support in relation to academic tasks b) work-home conflict, c) workplace frustration of psychological needs, and d) varied well-being outcomes (engagement, commitment, burnout, and health). Structural equation modeling showed that work-home conflict and low academic resources positively predicted burnout and health problems but negatively predicted engagement. Work-home conflict, academic pressure, and insufficient support predicted greater basic need frustration that in turn negatively influenced faculty well-being. Findings highlight the need for future research to better identify aspects of academic work that obstruct or sustain faculty basic needs in order to provide need supportive academic culture that bolsters faculty well-being.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.545

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.073
GPT teacher head0.445
Teacher spread0.372 · 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

Citations25
Published2021
Admission routes3
Has abstractyes

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