Authoring Teacher Authority in the Lives of Children: The Case of M. Lazhar
Bibliographic record
Abstract
IntroductIonIn the wake of the Second World War, political philosopher Hannah Arendt turned her thought to education.She looked to the Americas for the promise education might bring to newcomers inserted into a world broken by fascism, colonialism, and genocide.There, she found child-centered education eroding traditional forms of authority and knowledge.Alarmed by the rise of child-centric, commodity culture in the United States, she penned a series of essays on "the crisis in education" that she saw as threatening teacher authority entrusted with caring for the newness children potentially bring to the world. 1 As Arendt predicted, the movement from traditional to child-centered to market-place authority in a post-industrial world radically diminished all forms of authority in society.Then, as now, Arendt finds teacher authority affected by the crisis:The most significant symptom of the crisis, indicating its depth and seriousness, is that it has spread to such pre-political areas as child-rearing and education, where authority in the widest sense has always been accepted as a natural necessity, obviously required as much by natural needs, the helplessness of the child, as by political necessity, the continuity of an established civilization which can be assured only if those who are newcomers by birth are guided through a pre-established world into which they are born as strangers.2
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.061 | 0.050 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.007 | 0.018 |
| 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".