Bibliographic record
Abstract
Abstract In Mind and World , John McDowell concludes that human beings ‘are born mere animals’ and ‘are transformed into thinkers and intentional agents’, principally by their initiation into language. Such ‘transformational views’ of human development typically represent first-language learning as a movement from a non-rationally secured conformity with correct practice, through increasing understanding, to a state of rational mastery of correct practice. Accordingly, they tend to invoke something like Wittgenstein's concept of training to explain the first stage of this process. This essay considers the cogency of this view of learning and development. I agree with Sebastian Rödl that the idea of training (as developed, say, by Meredith Williams) is inadequate to the nature of infancy and child-parent interaction, and I draw on the work of Lev Vygotsky and Michael Tomasello to offer McDowell a richer picture, which acknowledges the child's active role in fostering the second-personal relations that underlie the possibility of language learning. Such considerations force us to revise the transformational view, but do not refute it outright as Rödl believes. I conclude by considering the relevance of McDowell's view of second nature to two striking ideas: Ian Hacking's suggestion that the development of autistic children is ‘non-Vygotskian’ and Derek Parfit's claim that persons are not human beings.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.033 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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".