Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
CULTURAL RECKONING. On one hand, the last decade has witnessed a surge in popularity of extreme rightwing movements, many inherently nativist and xenophobic, in parts of Europe and the United States (Akkerman, de Lange, and Rooduijn 2016; Hainsworth 2016). Although such movements have so far failed to gain a strong foothold in Canada, recent research does point to increasing occurrences of "hate group" activity (Perry and Scrivens 2016) and specific incidents of "hate crimes" across Canada (Leber 2017). Researchers have also noted weakening levels of popular support for immigrants and refugees (Donnelly 2017), including a growing suspicion of Muslim Canadians in particular (Sevunts 2016). Meanwhile, lack of sympathy for the historical and ongoing challenges faced by Indigenous peoples in settler-colonial Canada remains widespread, although this is beginning to change (Environics Institute for Survey Research 2016; Angus Reid Institute 2018). On the other hand, mass protests across the United States in response to numerous instances of police brutality against Black Americans in the summer of 2020, coupled with the ongoing work of Canadian scholars like
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it