Crystals of Knowledge Production. An Intercontinental Conversation about Open Science and the Humanities
Bibliographic record
Abstract
In this article two scholars engage in a conversation about open access and open science in research communication with a specific focus on the Humanities. The two scholars have very different points of departure. Whereas Jean-Claude Guedón has been a professor of Literature in North-America for many years and part of the open access movements since its beginning, Thomas Wiben Jensen is in the early part of his carreer and fairly new to the concept of open access. The conversation begins with a focus on the Danish national strategy for open access and this strategy's consquenses for the journal NyS where Thomas Wiben is part of the editorial board. However, the conversation brings the reader on an unexpected journey through the history of science communication and through alternative ways of understanding knowledge production as frozen moments or crystals in the Great Conversation of science.It is the hope of the editor and the contributors that the conversation can lead to a debate about innovative ways of communicating and distributing scientific results.
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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 | 0.046 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.030 | 0.115 |
| Scholarly communication | 0.037 | 0.059 |
| Open science | 0.002 | 0.021 |
| Research integrity | 0.015 | 0.019 |
| Insufficient payload (model declined to judge) | 0.006 | 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".