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Record W7139346391

Volunteer Experience at Active Kids

2024· report· en· W7139346391 on OpenAlexaff
Kelly Wang, Delgado Carvalheiro-Nunes, Ryan Harrington, Samantha Konyu, Justine Sologastua

Bibliographic record

VenuecIRcle (University of British Columbia) · 2024
Typereport
Languageen
Field
Topic
Canadian institutionsUniversity of British ColumbiaKwantlen Polytechnic University
Fundersnot available
KeywordsKinesiologyCoachingCertificationVolunteerTraining (meteorology)Active learning (machine learning)
DOInot available

Abstract

fetched live from OpenAlex

The purpose of the following study was to explore the volunteer experience at Active Kids for Undergraduate Kinesiology students at UBC. Particularly, our study is interested in learning the volunteer's motives in joining Active Kids and how their motivation changed throughout their involvement. This will provide valuable information on potential implementation to improve volunteer experiences. From our surveys, 89.5% of the respondents would recommend the Active Kids experience to other Kinesiology students. In addition, when asked to analyze the motives for joining Active Kids, many valued the importance of hands-on experience and the practical learning environment that Active Kids offers. However, when prompted to detail changes that they wish the program to implement, many propose wishes to include training with children with different disabilities and more workshops to consolidate the specific coaching skills. Proposed Recommendations Our recommendations for potential changes and modifications to the Active Kids program to better enhance UBC’s Kinesiology student volunteer experiences are as follows: 1. Provide specific training sessions based on specific sports programs 2. Include training to work with children with various disabilities (physical and/ or intellectual) 3. Provide continual planning and training throughout the program 4. Increase guidance on certification options and potential career pathways 5. Enhance volunteer engagement through leadership roles Please note that while we recognize the significance of these recommendations in enhancing volunteer experiences and understanding the logistics of program facilitation, we acknowledge that some changes may not be feasible to implement immediately due to logistical constraints. Value With these proposed recommendations, we expect that more Kinesiology students will recognize the values that Active Kids brings in terms of both practical and university experience. These proposed changes have the potential to enhance the volunteer experience, leading to the potential for an enhanced coaching staff pool and expanding new volunteers. Final Thoughts and Next Steps Enhancing volunteer experience brings forth the enrichment of the academic and university experience of Kinesiology student volunteers. From the potential of these proposed changes, we expect an increased volunteer satisfaction rate and enhanced motivation to continue their involvement at Active Kids. Disclaimer: “UBC SEEDS provides students with the opportunity to share the findings of their studies, as well as their opinions, conclusions and recommendations with the UBC community. The reader should bear in mind that this is a student project/report and is not an official document of UBC. Furthermore readers should bear in mind that these reports may not reflect the current status of activities at UBC. We urge you to contact the research persons mentioned in a report or the SEEDS Coordinator about the current status of the subject matter of a project/report.”

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0080.002
Scholarly communication0.0050.003
Open science0.0010.010
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0180.003

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 head0.019
GPT teacher head0.226
Teacher spread0.207 · 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 designNot applicable
Domainnot available
GenreOther

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 routes1
Has abstractyes

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