What Weston’s Spider and My Shorebirds Might Mean for Bateson’s Mind: Some Educational Wanderings in Interspecies Curricula
Bibliographic record
Abstract
Education has institutionalized a process that reifies cultures, ecological communities, and ultimately evolution itself. This enclosure has lessened our sensitivity to the pedagogical (eteragogical) nature of our lived relations with other people and with other living beings. By acknowledging that learning and teaching go on between species, humans can regain an eteragogical sense of the interspecies curricula within which they exist. This article explores interspecies lived curricula through a selection of ideas from ecopragmatist Anthony Weston, and cybernetician Gregory Bateson, and through lived experiences with shorebirds of Lake Ontario. Some gulls and a tern teach the author to enrich and diversify, rather than constrict, the potentiality of life. In so doing, being ecological and being educative become unified concepts. Resume L’education a institutionnalise un processus qui a materialise des cultures, des communautes ecologiques et, finalement, l’evolution elle-meme. Cette enceinte a diminue la sensibilite de la nature pedagogique de nos relations vecues avec d’autres personnes et d’autres etres vivants. En reconnaissant que l’apprentissage et l’enseignement se produisent entre les especes, les humains peuvent retrouver un sentiment naturopedagogique dans le cadre des rapports entre especes au sein desquels ils existent. Le present article examine les cadres inter-especes en se penchant sur une selection d’idees de l’ecopragmatiste Anthony Weston et du cyberneticien Gregory Bateson, et sur des experiences vecues aupres d’oiseaux de rivage du lac Ontario. Quelques mouettes et une sterne enseignement a l’auteur a enrichir et a diversifier plutot qu’a restreindre le potentiel des etres vivants en cause. Ce faisant, les methodes ecologique et educative deviennent des concepts unifies.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.022 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.003 |
| 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".