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Occupational Stress and Job Satisfaction of Public-School Teachers in Distance Education: A Quantitative Analysis

2022· article· en· W4293017567 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

VenueInternational Journal of Science and Management Studies (IJSMS) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEmployee Performance and Management
Canadian institutionsLa Cité Collégiale
Fundersnot available
KeywordsJob satisfactionPsychologySchool teachersOccupational stressStress (linguistics)Job stressJob attitudeApplied psychologyMedical educationSocial psychologyJob performanceMathematics educationMedicine

Abstract

fetched live from OpenAlex

The study focused onOccupational Stress and Job Satisfaction of Public-School Teachers in Distance Education using the descriptive correlational technique. Furthermore, the study will look into whether there was a link between the degree of occupational stress, and levels of job satisfaction among the public-school teachers. The study was conducted in the province of Cebu. The respondents of the study are the 90 teachers selected using the systematic Random sampling method. Moreover, the research instrument used was the 36-item Teacher Stress Inventory (TSI) (Schutz and. Long, 1988) and the Minnesota Satisfaction Questionnaire (MSQ-short form) to measure intrinsic and extrinsic job factors of employees. The study yielded that teachers are experiencing some type of stress in the workplace which may be due to the added responsibilities in distance learning. Likewise, despite the stress and the additional obligations brought on by the epidemic, teachers were satisfied with their jobs. In addition, the study found a significant relationship between the Level of Occupational Stress and the Level of Job Satisfaction of Teachers.

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)0.003
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 score0.163
Threshold uncertainty score0.380

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.046
GPT teacher head0.398
Teacher spread0.351 · 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