Bibliographic record
Abstract
I f the CLASSE student manifesto lacks a certain elegance, it cannot be dismissed on this ground alone.The text represents a struggle to reinvent a lost language of dissent and to formulate terms of refusal that speak in the vernacular without altogether ceding to a neoliberal Newspeak.In what language might we properly speak of an "apprenticeship in humanity," the "essence" of the student strike, a collective vision for the democratic educational project?The manifesto thus reaches beyond tuition increases and suffocating student debt, setting its sights on a "deeper malaise."The cost of an education is not just symbolic; it is materially concomitant with the violence of socio-economic inequalities, sexism, racism, (neo)colonialism, homophobia, environmental exploitation, the corporatization of higher education, and the antidemocratic thrust of government policies and laws, such as Bills 78 and C-38.In response to demands that students "renounce violence" and return to business as usual, readers implicitly are asked to situate themselves vis-àvis the systemic and structural violence of the neoliberal state-ideological power more injurious than the repressive force of batons, pepper spray, and tear gas.In this light, the principles expressed in the manifesto are neither idealistic nor without substance, as some pundits have claimed; nor is the text implicitly fascist, as the well-known Québec journalist Normand Lester suggested when he wrote, "Mussolini serait fier."Rather, the manifesto seeks to expose and critique a system that authorizes, condones, and ultimately profits from systemic and structural violence, now normalized and repackaged as democracy and development.Violence, too, is the high cost of an education-social costs or "negative externalities," in the language of today.Collateral damage.The manifesto is, then, a call to language.Foregrounding the problem of political legitimacy-not just legality-it asks, who has the political right to speak?And it demands of us that we claim responsibility for the conditions under which these voices can be heard.This helps to explain why a vast Québec social movement has gained relatively little purchase in English Canada.Apart from a few souls banging their casseroles, our https://cjc.utpjournals.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.010 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".