“Hands off”: responsibilizing low-income citizens through fee assistance programs
Bibliographic record
Abstract
Rationale To critically examine fee assistance programs (FAPs) through the lens of responsibilization and discuss the implications of creating access to sport for low-income families.Method Semi-structured interviews were conducted with 12 volunteers and administrative staff from community sport organizations in New Brunswick who facilitated FAPs for their organizations.Findings Four themes were constructed and discussed, illuminating how FAPs responsibilize low-income families: (1) Don’t advertise, don’t share: Applicants do all the work; (2) Passive but efficient: Processes of FAPs; (3) It’s always the parent: Communication of FAPs; and (4) You have to take ownership: Families need to be accountable.Practical implications This study is valuable to practitioners interested in understanding how FAPs may cause harm by excluding low-income families.Research contribution This study demonstrates how responsibilization is evident in facilitating FAPs in community sport organizations in New Brunswick and the consequences of creating access to community sport.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.025 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| 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".