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Record W4317490323 · doi:10.26522/brocked.v32i1.956

Exploring Public Perception of Mindfulness in Canadian Schools: A News Media Content Analysis

2023· article· en· W4317490323 on OpenAlexaffvenueabout
Jennifer Albert, Jessica Whitley, Amy Klan

Bibliographic record

VenueBrock Education Journal · 2023
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMindfulnessPsychologyContent analysisPerceptionNarrativeNews mediaContent (measure theory)Social psychologySociologyMedia studiesSocial sciencePsychotherapist

Abstract

fetched live from OpenAlex

Mindfulness practices have been increasingly adopted in schools across Canada and beyond. While previous literature has explored a range of purposes for mindfulness little is yet known about the ways in which it is understood by broad communities. News media serves as a key source of public discourse on topics like mindfulness in education that can reflect and influence public understanding and actions. This study explores the depiction of mindfulness within schools as it existed in Canadian news media between 2014 and 2019. The Canadian Major Dailies Proquest database was searched using the terms ‘mindfulness’ and ‘education OR school’. After an initial scan of 719 articles, 69 were retained. Deductive content analyses were conducted; themes included emotional, cognitive, social, and physical effects of mindfulness practices in schools. Divergent narratives were noted, reflecting a need for greater coherence and a shared rationale supporting the use of mindfulness practices in schools.

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)0.000
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 score0.449
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0190.000

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 head0.230
GPT teacher head0.367
Teacher spread0.137 · 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
Published2023
Admission routes3
Has abstractyes

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