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Record W4400406380 · doi:10.36510/learnland.v17i1.1134

Maintaining Playground Relationships Through Music During a Pandemic: An Action Research Inquiry

2024· article· en· W4400406380 on OpenAlexaffvenue
Matthew Yanko

Bibliographic record

VenueLEARNing Landscapes · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Environments and Student Outcomes
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPandemicAction (physics)PsychologyCoronavirus disease 2019 (COVID-19)Action researchPedagogyMedicine

Abstract

fetched live from OpenAlex

The COVID-19 pandemic’s restrictions for schools and playgrounds threatened children’s social and emotional wellbeing. In response, Grade 4/5 students created music-based activities through action research to sustain playground interactions. This study explored the crucial yet fragile playground relationships and the children’s determination to maintain them. Findings indicate that the student‑initiated projects were not only a medium for self-expression and maintaining friendships, but also served as an important tool for reinforcing the inherent social fabric of the playground setting. Notably, this study underscores the significance of collaborative learning, interpersonal skill development, and intrinsic motivation in fostering social skills and enhancing self-confidence.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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 score0.334
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
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 head0.310
GPT teacher head0.470
Teacher spread0.160 · 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
Published2024
Admission routes2
Has abstractyes

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