Communication as a Factor for Uptake of Intraorganizational Accessibility and Inclusivity Initiatives
Bibliographic record
Abstract
Of the more than 6.2 million Canadians living with a disability, many find gaining access to inclusive sport, exercise, and physical activity challenging. The Leading Equitable Accessible Delivery (LEADTM) is a self-assessment tool designed to support the implementation of accessible and inclusive changes within sport, exercise, and physical activity organizations. Communication (e.g., methods and channels) plays an important role in the successful implementation of organizational initiatives. However, little is known about how communication influences LEAD implementation. This study aimed to examine communication as a factor influencing the uptake of new accessibility and inclusivity initiatives within sport organizations and understand how communication within organizations' networks facilitates or hinders the implementation of the LEAD. Organizations (n=2) which have finished the LEAD were recruited to complete a network survey with quantitative and qualitative items. The survey captured organizational networks comprised of individuals who work within the sport organizations at various leadership levels. Quantitative data were investigated using a social network analysis. Qualitative data was subjected to inductive thematic analysis then mapped onto the network to provide insight into how communication within organizations influences the sharing of accessibility and inclusion information. Network results demonstrated mutually beneficial communication across both general staff and leadership staff, indicating strong communication and ties to three general themes: organizational culture, organizational resources, and organizational support. Understanding how ideal communication efforts within organizations influences uptake of accessibility and inclusion initiatives, namely the LEAD, will provide future guidance and improvements to accessibility efforts within sport, exercise, and physical activity realms.
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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 | 0.011 | 0.084 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".