Bibliographic record
Abstract
Given that one of the major goals of the practice of Philosophy for Children (P4C) is the development of critical thinking skills (Sharp 1987/2018, pp. 4 6), an urgent question that emerged for one of the authors, who is of Chinese Heritage and a novice practitioner at a P4C summer camp (thinkingplayground.org), was whether this emphasis on critical thinking might make this practice incompatible with the fabric of Chinese culture. Filial piety (孝), which requires respect for one’s parents, elders, and ancestors is considered an important virtue in Asian culture, as is the preservation of harmony. But if one of the goals of P4C is to teach youngsters to courageously pursue reasoned dialogue, does this not set-up young Asians for serious conflict when they come face-to-face with positions that are articulated by elders, but which are ones to which they are diametrically opposed; a racist grandmother, for instance, or an uncle who insists that those at the Tiananmen Square uprising were nothing but hooligan’s. It is this question that we will explore in this presentation. In the process, we will come to the conclusion that, when positions seem irreconcilable, rather than continuing to pursue rigorous critical interchange that may do little other than escalate insult, the facilitator, rather, ought to move toward creating a deeper understanding of each position juxtaposed against its opposing view (a process that we refer to as ‘collaborative caring’), so as to produce side-by-side understanding, knowing that communal bonds have been maintained and, hence, that the opportunity for genuine reasoned collaborative inquiry on other issues and at future times remains open.
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 | 0.010 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.078 |
| Scholarly communication | 0.015 | 0.024 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.005 | 0.013 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".