An Intersectionality-Based Policy Analysis Examining the Complexities of Access to Wild Game and Fish for Urban Indigenous Women in Northwestern Ontario
Bibliographic record
Abstract
The destruction of Indigenous food systems is a direct consequence of the settler-colonial project within Canada and has led to decreasing access to Indigenous foods, disproportionate rates of food insecurity and disconnection from Indigenous food systems and environments. We interviewed Indigenous women, non-Indigenous staff of Indigenous-serving organizations, and policymakers (i.e., those who develop, interpret, or implement wild food policy) to explore how the policy context has impacted Indigenous women and their communities’ experiences of accessing Indigenous foods in urban northwestern Ontario. We applied an Intersectionality-Based Policy Analysis (IBPA) Framework to shape our research questions and guide the thematic analysis of the data. We found that stakeholder groups had differing understandings of the issue of accessing wild foods and Indigenous food security and their actions either supported or disrupted efforts for access to wild food to promote food security or Indigenous Food Sovereignty. Policymakers cited necessary barriers to promote food safety and support conservation of wildlife. Staff of Indigenous-serving organizations approached the issue with consideration of both Western and Indigenous worldviews, while Indigenous women spoke about the ongoing impacts of colonial policy and government control over their lands and territories. The main policy areas discussed included residential school policy, food regulation, and natural resource regulation. We also investigated community-level strategies for improvement, such as a wild game license. Throughout, we tied the colonial control over ‘wildlife’ and the Western food safety discourse, with infringements on Indigenous Food Sovereignty, experiences of racism in food settings and on the land, as well as with broad control over Indigenous sovereignty in Ontario. This work contributes to an increased understanding of how Western discourses about health, food, and the environment are perpetuated through systemic racism in government policy and reiterated through policymakers' views and interpretations or actions. Government institutions must develop culturally safe partnerships with Indigenous leaders and organizations to facilitate a transfer of power that can support Indigenous Food Sovereignty.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.017 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".