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Record W2492288458 · doi:10.17722/ijme.v7i2.847

Shaken But Unruffled: Stories of Psychologically Distressed Public Secondary School Teachers

2016· article· en· W2492288458 on OpenAlexvenueno aff
Armando Mazo Olmedo, Gloria P. Gempes

Bibliographic record

VenueInternational Journal of Management Excellence · 2016
Typearticle
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsPhenomenonCoping (psychology)PsychologyThematic analysisStressorDistressPsychological distressChristian ministrySchool teachersSocial psychologyFace (sociological concept)Qualitative researchDevelopmental psychologyPedagogyClinical psychologyPsychotherapistSociologyMental healthSocial sciencePolitical science

Abstract

fetched live from OpenAlex

Psychological distress is a global phenomenon that affects not only the psychological and physical well-being but also the profession of teachers around the world. The purpose of this multiple case study was to explore the experiences of psychologically distressed public secondary school teachers, their coping strategies, and insights they can share to their peers and to the academe in general. The participants of this inquiry were five female teachers from the public secondary schools of Davao del Norte division of Davao region, Philippines who experienced distress caused by school and personal stressors. Furthermore, informants underwent face-to-face in-depth interview. After a thorough analysis of the data using thematic, numeration and cross-case analysis procedures, it was found out that students’ misbehavior was the most common cause of teachers’ distress. On the coping strategies employed by them, it also came out that controlling the emotion was their most usual coping strategy against their distressful experiences. Moreover, teaching as both profession and ministry was the strongest insight. Finally, this study has provided some important implications on how to address the said phenomenon, suggested relevant insights for meaningful learning, and considered vital related topics which necessitate future undertakings.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
Threshold uncertainty score0.988

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.000

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 head0.045
GPT teacher head0.368
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

Citations1
Published2016
Admission routes1
Has abstractyes

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