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Record W2983262027

Anxiety prevention, and early mental health education in British Columbia classrooms

2019· dissertation· en· W2983262027 on OpenAlexaboutno aff
Liz Stirling

Bibliographic record

VenueNational University System Repository (National University System) · 2019
Typedissertation
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthAnxietyPsychologyClinical psychologyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

This thesis used a self-reporting online survey of British Columbia teachers to gather firsthand knowledge of teachers experiences with mental health education in early elementary school classrooms. Current research into available mental health programs is reviewed; the limitations and strengths of these programs are discussed. The purpose of the study was to uncover systemic or personal barriers which influence teachers ability to provide helpful mental health education in kindergarten, grade 1, 2, or 3. The survey, created by the researcher, included likert and open ended questions. Teachers responses revealed barriers like limited classroom time and lack of support from administration which create problems for including mental health education in class. Teachers expressed person thoughts and opinions about the importance of mental health education in these early grades and discussed their own competencies and skills for accomplishing this. Suggestions for creating the foundation for a universal mental health education program are discussed. Further areas for research are identified.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.309
Teacher spread0.296 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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