‘I keep forgetting them’: Lacrosse, indigenous women and girls and reconciliation in Canada
Bibliographic record
Abstract
In Canada, the Truth and Reconciliation Commission (TRC) released its list of Calls to Action (CTA) in 2015, and five Calls were directly related to reconciliation and sport. Within these five sport-related CTA, there was no specific reference to gender. Lacrosse, as an Indigenous cultural practice that has been culturally appropriated by white settlers, is a complex site to investigate how the TRC's CTA is (or are not) being implemented and the ways in which these efforts are gendered. In this paper, we examined how staff at Canadian lacrosse organizations address the CTA and Indigenous women's and girls' participation in lacrosse. Through the use of Indigenous feminist theory, feminist methodologies informed by the tenets of Indigenous methodologies, semi-structured interviews and reflexive thematic analysis, our findings demonstrate that Indigenous women and girls are commonly overlooked, and gender is typically an afterthought within the implementation of sport-related CTA by lacrosse organizing bodies in Canada - if they are implemented at all. As a result, we argue that there is a need to make gender a central organizing principle when lacrosse organizations within Canada implement the TRC's CTA.
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 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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.026 | 0.035 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".