“Vulnerable,” “At-risk,” “Disadvantaged”: How <i>A Framework</i> <i>for Recreation in Canada 2015: Pathways to Wellbeing</i> Reinscribes Exclusion
Bibliographic record
Abstract
The purpose of this paper is to analyze how the problem of exclusion and the solution of inclusion have been discursively produced within A Framework for Recreation in Canada 2015: Pathways to Wellbeing.Centred around three main arguments, our analysis demonstrates the ways in which the Framework strategically combines notions of Otherness with discourses of risk and inclusion in order to target social groups that are perceived to be lacking the personal, cultural, or material resources to participate in the specified amount of physical activity required for health (and thus national economic) benefits. By interrogating the ways the Framework has enacted a particular Canadian ‘brand(ing)’ of inclusion, our analysis challenges recreation professionals (including academics) to think outside the inclusion/exclusion binary and consider their complicity in the creation, and maintenance, of exclusionary practices.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".