Editorial. Bringing Forth a World: Inviting Maturana into the Conversation of the "Wide World Over"
Bibliographic record
Abstract
After attending the Canadian Hermeneutic Institute this month in Calgary, with Professor Theodore George as the visiting scholar, foremost in my mind has been the ethics and responsibility to understand in relationships and interactions with others.Dr. George spoke of many topics in his remarkable three days of lectures -from conversation to translation, the linguisticality of language, and the ethics of experience in hermeneutic research, the "wide world over."George maintains that "we only become genuinely undogmatic through interpretive experience achieved while displaced from tradition, abroad in the world."George is also the author of The Responsibility to Understand: Hermeneutical Contours of Ethical Life (George, 2020) and this book addresses contemporary hermeneutics and the question of responsibility as well as our capacity for displacement.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.009 | 0.015 |
| Insufficient payload (model declined to judge) | 0.013 | 0.007 |
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".