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Record W3167500121 · doi:10.14288/hfjc.v12i2.274

Lessons from the National Indigenous Physical Activity and Wellness (NIPAW) 2019 Conference

2019· article· en· W3167500121 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOpen Collections · 2019
Typearticle
Languageen
FieldHealth Professions
TopicAthletic Training and Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIndigenousInfographicCommunity engagementSocial mediaPublic relationsSociologyPolitical science

Abstract

fetched live from OpenAlex

Background: This study investigates the interactions with Indigenous elders, youth, scholars and community members and their shared experiences of Indigenous way of life through the conference and communication through social media. Purpose: This project focused on improving community engagement for the National Indigenous Physical Activity & Wellness (NIPAW) 2019 conference and on how the NIPAW 2019 platform strengthened community participation. Applications of these concepts were explored for future conferences. Methods: Informative videos, promotional posts, and an infographic were made for online promotions of NIPAW 2019 through the Indigenous Physical Activity and Cultural Circle (IPACC) Facebook page and Gmail. Conference logistics and administration were handled through the same platforms. Results: There was a 5.25% engagement rate on the IPACC Facebook page for NIPAW 2019 from the posts representing a 140% increase in engagement over previous years. Communication through the NIPAW Gmail account also allowed for improved planning with the conference speakers. Elder and youth engagement were also facilitated by the fact that the conference was held on Samson Cree reserves near a major high school. Conclusion: NIPAW 2019 effectively decolonized their conference platform through Elder and youth involvement and connection to land. These aspects of the conference improved engagement for Indigenous peoples because they create a safe space for community members to engage in reciprocal, holistic learning. NIPAW 2019 should be used a template for conference proceedings outside of the Indigenous sphere.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.640
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.135
GPT teacher head0.457
Teacher spread0.323 · 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