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Record W2621533560

Students’ Experiences of a Voluntary Random Acts of Kindness Health Promotion Project

2017· article· en· W2621533560 on OpenAlexaff
Nicola Catherine Paviglianiti, Jennifer D. Irwin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsWestern University
Fundersnot available
KeywordsKindnessPsychologyMental healthGroup cohesivenessHealth promotionPromotion (chess)Cohesion (chemistry)Class (philosophy)Medical educationSocial psychologyMedicineNursingPublic healthPsychiatryPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Objective: To examine students’ experiences of a voluntary random acts of kindness (RAK) project introduced in a large, undergraduate health promotion classroom setting. Participants: 107 university students out of 348 students enrolled in an undergraduate course. Methods: Fifteen weeks following the completion of the project, youth participants completed a 25-item questionnaire that was created for this study and included both closed and open-ended items. The questionnaire was designed to primarily examine participation in the project, its perceived impact on the classroom environment, class cohesion, course participation, and students’ personal wellbeing including stress and confidence.  Results: Respondents completed an average of 13 RAKs each and commented on the positive impact on their mental health. 73% reported an increase in their enjoyment of class; 65% indicated that class cohesion improved; 62% felt they learned about themselves; 59.6% reported a reduction in stress; 94.9% reported increased awareness of how their actions impacted others; and 84.1% reported continued, post-course voluntary participation in the project. Conclusion: Students benefited from the intervention in terms of enhancing their sense of belonging, contributing to their community, and improving experiences of stress and negativity. Further research on the utility of RAK projects within youth health promotion in classroom settings is warranted.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.102
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

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

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 head0.080
GPT teacher head0.424
Teacher spread0.345 · 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.

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

Citations8
Published2017
Admission routes1
Has abstractyes

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