Bibliographic record
Abstract
Plant-based diets are often perceived as being antithetical to Indigenous interests in what is today colonially known as Canada. This perceived antithesis hinges on veganism's rejection of the consumption of animals. This apparent antithesis, however, is a misperception that a reframing of ethical veganism can help correct. This article argues that veganism's objection to dairy should be underscored as a central concern of ethical veganism. Such emphasis not only brings into view the substantial alignment between plant-based diets and Indigenous worldviews, but also highlights the related goals of decolonization and reconciliation in Canada. Veganism, in reality, rejects a practice (dairy farming) that was constitutive of settler colonialism in North America and which still promotes colonial familial ideologies while constructing Indigenous peoples and other non-Europeans (who disproportionately cannot tolerate lactose) as abnormal. Veganism – along with vegetarianism – shares the general respect for animals and interspecies relations (along with a concomitant disavowal of human exceptionalism) that many Indigenous legal orders in Canada promote. Yet, despite this shared disavowal of a principal colonial ideology, the tight correlation between hunting and Indigeneity on the one hand, and veganism and vegetarianism and an objection to killing animals on the other, makes veganism's contributions to decolonization and reconciliation difficult to see. By framing veganism as a critique of the dairy industry, however, the associations that veganism has with decolonizing ends are not clouded by these overpowering correlations, helping to bring into view even vegetarianism's contributions toward these ends.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.047 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".