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Record W4402596333 · doi:10.33524/cjar.v24i3.728

Action Research and School Community Health and Wellness: An Introduction to a Canadian Journal of Action Research Special issue

2024· article· en· W4402596333 on OpenAlexaffvenueabout
Daniel B. Robinson

Bibliographic record

VenueThe Canadian Journal of Action Research · 2024
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsAction researchAction (physics)Medical educationSociologyEngineering ethicsPolitical sciencePsychologyPedagogyMedicineEngineering

Abstract

fetched live from OpenAlex

This special issue in The Canadian Journal of Action Research focusing on school community health and wellness has been a long time coming.Without question, these overlapping constructs (i.e., health and wellness) have become increasingly important and relevant in recent times.And certainly, across the nation, wellbeing-by many descriptors and deQinitions-has become a focus within many schools and school jurisdictions over the past 10 to 20 years (Montemurro et al., 2023).Such a focus has been evidenced by the purposeful and responsive attention and action placed upon a number of wellbeing-related concepts and initiatives.These concepts and initiatives include, among others, health promoting schools/comprehensive school health (McIsaac et al., 2017), mental health and mental health literacy (Mcluckie et al., 2014), social emotional learning (Mahoney et al., 2018), and daily physical activity (Stone et al., 2012).Moreover, the strengthening of contemporary school health-related programs (which include physical education, health education, physical activity, the social environment, teacher wellness, and psychological and counselling services, again among others) has been identiQied and utilized as a suitable mechanism to improve upon public health and education (Kolbe, 2019).

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)0.079
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0790.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.003
Science and technology studies0.0170.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.018
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 head0.551
GPT teacher head0.619
Teacher spread0.068 · 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 designNot applicable
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
Published2024
Admission routes3
Has abstractyes

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