Bibliographic record
Abstract
In this essay, the author argues that given current shifts in the axiological imperatives which inform research, local manifestations of the global political trend toward post-truth populism, and the saturation of the university in settler colonial, patriarchal, hegemonic ideology, there is a dire need for an alternative model of scholarly engagement—what the author calls locally engaged public intellectuals. Through the lyrics of Canadian rock band Bucket Truck, the author gestures toward the way local critiques can contextualize local issues and disrupt the post-truth narrativizing which often paints Indigenous and other marginalized groups as dissidents. Bucket Truck, the author argues, were an example of such locally engaged public intellectuals. The group thus deserves our consideration not just as a now defunct Canadian rock band, but as an example of local critique made accessible to affected communities.
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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.038 | 0.058 |
| Scholarly communication | 0.022 | 0.015 |
| Open science | 0.004 | 0.015 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.018 | 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".