Teaching and doing anti-criminology: An autoethnography of transgressive pedagogies
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
As both first-generation, working-class Canadians from Italian immigrant families we were very much outsiders to the academy when we began our respective university studies in the late 1980s. Today, as third-generation critical criminologists, we strive to bring an intersectional perspective to the classroom and to likewise enable marginalized students to find their voice and position themselves as active subjects, not objects of others’ inquiry. From sharing the insights offered by Left Realism and Zemiology the authors offer an autoethnographic account of teaching crime and justice. In keeping with hooks’ observation that the reality of class differences is starkly revealed in educational settings, this paper seeks to explore the intersections between teaching and learning as a process that involves existential self-reflection towards a critical pedagogy aimed at creating an inclusive teaching and learning space that challenges myths, demythologize power relations, and promotes social justice.
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 | 0.002 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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