Bibliographic record
Abstract
Using the epistolary genre, this editorial is embedded in a fictional letter written to a teacher. The discussion is spurred by a teacher writing a mark in bold felt pen directly on a student’s drawing of the Eiffel Tower. This reflexive inquiry laments the deep wounding of the joy of learning by metrics, measurements and efficiency, while registering the imperative to change this path. Using the metaphor of the “tower” to theorize current damaging curricular practices, this editorial questions how, amidst the uncontrol and fear in a global pandemic, the challenging truths of unmarked graves, devastating climate disasters, global food insecurity, among other sufferings, teachers can imagine hope-inspired, healing-centred pedagogies and ”assertive mutuality . . . [through] co-action, interconnection . . . [and] the capacity to act and implement as opposed to the ability to control others” (Kreisberg, 1992, p. 86). The task of recognizing, naming and dismantling towers—in essence, leaving one’s home, and building new relational frames, while the world is falling—requires extraordinary hope, as shown in the articles in this issue.
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 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 | 0.001 | 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".