Bibliographic record
Abstract
In this ecological poetic inquiry, I contemplate a curriculum of silence, discipline and student bodies. As I seek to work through and against the entrenched-knowings of school and schooling in these ecologically urgent times, I contemplate how children’s bodies are disciplined, how the voices of nature are silenced, how dominance rears its head through the myths of competition, progress and human supremacy. The cluster of poems is a consideration of some of the ways in which bells, security screening systems, silent lunchrooms, dead-lines, and all of the so-called “practical necessities” of schools, serve to silence and marginalize the voices, beings and bodies implicated in the industrial-powerful places and ecologically barren times of education. I ask, what wild, young-old, creaking, sleeping voices, beings and bodies need to be considered in our curriculum encounters? In response to David Geoffrey Smith’s (2014) call for educators to “reimagine new, wiser, human possibilities” (p. 1), I consider how educators may encounter ecological possibilities for a curriculum of living.
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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.067 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.004 | 0.011 |
| 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".