Community-Based Sport Research with Indigenous Youth (Investigación deportiva basada en la comunidad con jóvenes indígenas)
Bibliographic record
Abstract
Abstract. There is critical need to better understand how to enhance sport participation among Indigenous youth and how to provide sporting opportunities in ways that contribute positively to health and wellness. The purpose of this paper is to describe our attempts to ‘deeply engage’ Indigenous youth in sport research via a community-based participatory research (CBPR) approach. Specifically, we describe how a range of qualitative data generation techniques have been used in our research, that is focused on exploring how communities can support sport opportunities for Indigenous youth in Edmonton, Alberta. Our program of research, which included the use of one-on-one interviews, sharing circles, and photovoice, provides direction for utilizing collaborative research approaches that respect Indigenous youth as equal partners in sport research. Furthermore, findings from our research have provided in-depth insights into the experiences and meanings of sport for Indigenous youth, and contributed to furthering understandings of the necessary processes that are foundational to engaging in relevant and respectful sport research with Indigenous youth.Resumen. La participación en el deporte puede jugar un papel en la reduccion de las disparidades de salud experimentadas por los jóvenes indígenas. A pesar de la vasta literatura sobre el deporte que ha documentado los beneficios potenciales de la participación deportiva, relativamente pocos estudios han examinado la participación deportiva entre la juventud indígena. Hay necesidad crítica para comprender mejor la manera de mejorar la participación deportiva entre los jóvenes indígenas y cómo proporcionar oportunidades deportivas de forma que contribuyan positivamente a la salud y el bienestar. El propósito de este trabajo es describir nuestros intentos de implicar con profundidad a los jóvenes indígenas en la investigación del deporte a través de un enfoque de investigación participativa basada en la comunidad (CBPR). En concreto, se describe cómo se han utilizado una serie de técnicas cualitativas de generación de datos de nuestra investigación, que se centra en la exploración de cómo las comunidades pueden apoyar las oportunidades deportivas para la juventud indígena en Edmonton, Alberta. Nuestro programa de investigación, que incluyó el uso de entrevistas uno a uno, los círculos de intercambio y la técnica de foto voz, proporcionan una orientación para la utilización de enfoques de investigación en colaboración que respeten a los jóvenes indígenas como socios iguales en la investigación deportiva. Por otra parte, los resultados de nuestra investigación han proporcionado una visión en profundidad de las experiencias y significados del deporte para los jóvenes indígenas, y han contribuido a la promoción de la comprensión de los procesos necesarios que son fundamentales para la participación en la investigación deportiva correspondiente y respetuosa con los jóvenes indígenas.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".