Bibliographic record
Abstract
The question at the heart of the book is what might an education with self-care and care-for-others look like? Juxtaposing self-understanding through the method of currere and the historical character of hakbeolism (a concept indigenous to Korea referring to a kind of social status people achieve based on a shared academic background), this book articulates how subjective reconstruction of self in conjunction with historical study can be transformative, and how this can be extended to social change. Articulating how having one’s own standard can be a way of making one’s life a work of art, the author looks at how Korean schooling exercises coercive care, disconfirmation, and the "whip of love" for the children’s own good. Emphasis is given to the internalized status of these practices in both students and teachers and to teachers’ and parents’ culpability not only in exercising but also in reproducing these practices through themselves. Going beyond describing and analysing the educational problem of academic (intellectual) achievement-oriented education based on aggressive competition, this book suggests ways to address these issues through autobiography (using the method of currere to reconstruct one’s subjectivity) and an ethic of care.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.013 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".