Bibliographic record
Abstract
hosted its third annual graduate student conference, entitled "Canada: Homeland or Hostile Land?"Over the course of the two-day conference, more than 50 students from universities across the countr y presented their work and engaged in critical exploration of inequalities in Canadian society.Panels and papers ranged in subject from Canadian settler colonialism and its legacies, to multiculturalism, to state policy and its impacts on minorities.Despite the diversity of topics and range of perspectives, all the discussions that ensued featured a common conclusion: that Canada has both a history and a present characterized by deeply entrenched social and economic inequalities along lines of gender, race, indigeneity, ability, region, socio-economic status, and migration status, among others.As Canada approaches its 150th birthday celebrations, there is no better time to reflect on the fact that, for some, Canada is more hostile land than homeland.This issue includes 11 essays, each of which was developed from a presentation given at the conference.The first
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.024 | 0.002 |
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".