Creating Temenos in the Classroom: Relational Encounter and the Subtle Alchemy of Transformation.
Bibliographic record
Abstract
The following article describes the interplay of self-knowledge and relational knowing in the co-creation of the classroom temenos. A nurturing classroom temenos is a particular quality of relational space which may be experienced by students as a place where they are safe, seen, heard and accepted. The greater temenos of the classroom is shaped and in-formed by teachers’ cultivation of their own inner temenos through mindful practices which can help build capacity for relationship. In this article I borrow alchemical language and processes to describe my experience of the relational temenos. I use select personal narratives and two key symbolic images to describe how this embodied knowledge of self and other might allow students and teachers to become more fully themselves. I suggest that it is in this invisible but existent intersubjective space or “innermost layer” (Aoki, 1988, p. 20) of teaching where the potential for transformation and future well-being might be found.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.032 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".