Schooling at the Doorstep of Dystopia: On Educating for Unsustainable Futures
Bibliographic record
Abstract
The lifespans of North American public school students are on course to intersect with emerging dystopian realities of human pain and suffering brought about by climate change and its effects. Are schools well-disposed to engage students earnestly about the worlds that scientific consensus advises us they will encounter? This essay of critique suggests that they are not. It suggests that a set of interrelated tendencies, fundamental to the philosophy and functioning of schools, precludes their doing so. It names and discusses these tendencies as the problem of overwhelming school allegiances to a self-help ethos of vacant positivity, the structural infantilization of young people as a function of school power relations, and the allegiance to short term economic imperatives and individualism over environmental sustainability and communitarianism in determinations of the meanings and purposes of education. The essay concludes that on the current course, schools are miseducating students and encouraging them on a path toward unsustainable futures.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.081 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".