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Record W7132871449

Psychological harassment among Ontario secondary school teachers

2005· dissertation· W7132871449 on OpenAlexaffabout
Yvonne Sandy Bienko

Bibliographic record

VenueTSpace · 2005
Typedissertation
Language
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsInstitute for Christian StudiesStatistics Canada
Fundersnot available
KeywordsHarassmentSchool teachersCoping (psychology)PerceptionQualitative researchIntervention (counseling)
DOInot available

Abstract

fetched live from OpenAlex

This qualitative study, using semi-structured interviews and an interview guide, examines the perceptions of six Ontario secondary school teachers who have experienced workplace psychological harassment, and identifies the characteristics and effects of this problem, the coping mechanisms employed, and victims' awareness and effectiveness of related policies and procedures. Using convenience sampling, volunteer participants consisted of Ontario secondary school teachers who had experienced psychological harassment by a superior and/or colleague within the past two years. Interviews were transcribed and analyzed according to the research questions' key variables. The results indicate psychological harassment is predatory and dispute-related, escalatory, and can include a single incident; affects victims psychologically, physiologically, and behaviourally; affects school operations, student development, and absenteeism; that third party intervention and exit are the most effective coping mechanisms to stop harassment, that victims are largely unaware of related policies and procedures, and that these are largely ineffective.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.921

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0140.007
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.421
Teacher spread0.376 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2005
Admission routes2
Has abstractyes

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