Bibliographic record
Abstract
In the opening article of this issue, Jason Wallin observes that the Greek god Hermes was "frequently known to arrive at the last moment, offering a new course of action in the face of certain disaster.His arrival in this sense was often timely, and as such, Hermes was intimately bound to luck, chance, and sudden insights."Wallin describes Hermes as presiding over both transaction and translation, particularly at and across borderlines.In an evocative description of a student discussion about the historical meanings of Blackfoot symbols, he notes how, "like Hermes, we had abandoned the certainty of the sanctioned path or curriculum-as-plan"-an abandonment which led to the richly generative discussion described in the article.Several times in the paper Wallin reminds us of the embodied nature of Hermes-"a god of bodily action, a patron of travelers and vagabonds… renown for his athleticism and fleetness… for his affairs with goddesses, mortals, nymphs, and animals."These themes-sudden insights, transactions and translations, symbols and abstractions, moving across borderlines, uncertainty, and bodily knowing-resonate throughout the volume.And they are themes
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".