Education and The School of Dreams: Learning and Teaching on the Invisible Edge of Reality and Fantasy
Bibliographic record
Abstract
This paper involves a series of speculations, through literature, on what it might mean for the teacher and student to dwell on the precarious frontier of dreaming, and also, what education is bound to lose if its efforts only allow the immediate qualities of doing and knowing, ignoring the hints of a life that doubles the one we live in the clear of day. I theorize how dreaming may contribute to a theory of education that does not necessarily have to disavow what it cannot read, and what it does not yet understand. I open this paper with a short illustration of the powerful urge to the wakeful and rational, drawn from the pages of comic artist Lynda Barry’s (1992) graphic narrative My Perfect Life. I then explore the creative possibilities of dreaming as found in Laurie Halse Anderson’s (1999) young adult novel Speak, which offers a useful example of a teacher at times encouraging his student’s movement to dream.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.061 |
| Scholarly communication | 0.009 | 0.015 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".