Bibliographic record
Abstract
Kenneth Maly is Professor Emeritus of Philosophy and Environmental Studies at the University of Wisconsin-La Crosse and now teaches courses in environmental philosophy and environmental studies at the University of Toronto. He is General Editor of the book series New Studies in Phenomenology and Hermeneutics for The University of Toronto Press, where his book Heidegger's Possibility: Language, Emergence—Saying Be-ing will be published in April 2008. He has edited two volumes on Heidegger and Heraclitus and has translated three books by (and one about) Heidegger, including Heidegger's major work Contributions to Philosophy (From Enowning). Kenneth Maly is founding co-editor of the international journal Heidegger Studies. He is founding co-editor of the journal Environmental Philosophy. He is the recipient of the 2005 University of Wisconsin Regents Teaching Excellence Award.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.011 |
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; both teacher heads agree on what is shown here.
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".