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Record W2772556951 · doi:10.26522/brocked.v26i2.606

Teacher Stress and Social Support Usage

2017· article· en· W2772556951 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBrock Education Journal · 2017
Typearticle
Languageen
FieldPsychology
TopicStress and Burnout Research
Canadian institutionsNipissing University
Fundersnot available
KeywordsPsychologyStressorWorkloadStress (linguistics)Social supportSocial psychologyJob satisfactionClinical psychologyManagement

Abstract

fetched live from OpenAlex

In this paper, we explore how the frequency of utilization of social supports is related to teacherdemographics, stress factors, job satisfaction, career intent, career commitment, and theperception of a stigma attached to teacher stress. Using data from self-report questionnaires(N= 264) from teachers in northern Ontario, we found that teachers seldom spoke to their healthcare providers about stress and instead utilized family, friends, fellow teachers, and sometimestheir principals. The frequency of which teachers accessed different social support networks didvary depending on stressor (workload, student behaviour, professional relationships, societalattitudes, and employment conditions). Teachers who frequently talked to their friends aboutstress had a lower sense of career intent and career commitment. Males were less likely to talkto their various social supports about stress. This study adds to the literature by exploring thefrequency of contact with and usage of social supports and their impact on teacher stress andperspectives on teaching.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.057
GPT teacher head0.426
Teacher spread0.369 · 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