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Record W2565080849

Mindfulness Education in the Development of Self-regulation in Elementary Aged Children

2015· dissertation· en· W2565080849 on OpenAlexaboutno aff
Gillian Alexandra Thornley-Hall

Bibliographic record

VenueTSpace (University of Toronto) · 2015
Typedissertation
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMindfulnessCurriculumPsychologyChristian ministryIntervention (counseling)Mathematics educationPedagogyMedical educationDevelopmental psychologyPsychotherapistMedicinePolitical science
DOInot available

Abstract

fetched live from OpenAlex

Abstract Elementary teachers are currently required to assess and report on students' learning skills in Ontario Ministry Progress and Term reports. Among those learning skills is self-regulation. This study supports mindfulness as a potential intervention to help students who struggle with the development of self-regulation. This study addresses the constructs of mindfulness and what it looks like, as it is implemented in the elementary classroom. Research was conducted as a "snapshot," examining, observing and collecting data over a 5-week period in a classroom where a mindfulness program was actively implemented from the beginning of the year. This study can help teachers design and implement a mindfulness practice and corresponding curriculum in their classrooms. Mindfulness education could help children deal with the mounting stresses in their lives, ease difficulties with various aspects of classroom management and help support the development of focus and concentration in young students.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.309
Teacher spread0.293 · 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
Published2015
Admission routes1
Has abstractyes

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