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Record W7000317955

Exploring Teachers’ Perspectives on Child Anxiety: Opportunities to Promote Anxiety Management Skills in the Classroom

2021· article· en· W7000317955 on OpenAlexaffabout

Bibliographic record

VenueScholarship@Western (Western University) · 2021
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsWestern University
Fundersnot available
KeywordsThematic analysisFocus groupAnxietyIntervention (counseling)Mental healthCognition
DOInot available

Abstract

fetched live from OpenAlex

The purpose of the current study was to examine how teachers identify and provide supports for students with anxiety as well as their perspectives on implementing strategies informed from cognitive behavioural therapy (CBT) in the classroom. Data was collected from 11 classroom teachers in London, Ontario through virtual focus group sessions and an online demographic questionnaire. Thematic analysis revealed three key themes: opportunities to implement CBT-informed strategies, barriers to implementing CBT-informed strategies, and current knowledge and resources. The findings revealed that teachers perceived that they are facing increased demands to support the mental health needs of students without appropriate resources and training. The findings also outlined potential opportunities and barriers that teachers identified with regards to implementing CBT-informed strategies in the classroom. These insights could be used to develop CBT-informed programs for teachers that are both practical and effective in the classroom setting. Providing teachers with the necessary knowledge and support is important to improve overall identification and intervention supports for children and youth with anxiety.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.004
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
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 head0.164
GPT teacher head0.322
Teacher spread0.157 · 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 designQualitative
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
Published2021
Admission routes2
Has abstractyes

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