Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The teacher’s pedagogical ethics refers to the Kantian maxims that a teacher is obliged to follow. One could provide a list of the most crucial maxims that a teacher must absolutely not violate. We surely need these Kantian maxims in the teachers’ pedagogical ethics, although they tell us very little about the properties that good and moral teachers should possess. In teacher education we must of course elaborate on the ethical code of the teacher (maxims), but we must also consider the properties of a morally good teacher. A good source in endeavouring to find these properties is the book Aristotle wrote over 2,000 years ago, Nicomachean Ethics. According to Aristotle, a virtuous citizen must be educated. Without virtues (άρετή) – at least a certain degree of virtues – the polis community is impossible. Virtues are the human properties or action dispositions which facilitate the existence of telos, the purpose of a human being.” The telos of a man is to live a life worth living (eudaimon). Man achieves his telos by living a good life, which is a life lived according to certain virtues. In this article we consider what kind of a person a virtuous teacher is and what kind of a friend she is to her pupils.
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.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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 it