Review of John Haugeland, Dasein Disclosed: John Haugeland’s Heidegger . Ed. Joseph Rouse. Cambridge, Massachusetts: Harvard University Press, 2013. 336 pages
Bibliographic record
Abstract
John Haugeland passed away suddenly in 2010 leaving behind an unfinished book manuscript on Heidegger. He was an analytic philosopher who specialized in the philosophy of mind and cognitive science; however, he had an “extensive engagement” with Heidegger’s philosophy. Editor Joseph Rouse has compiled Haugeland’s previously published and unpublished writings (including the incomplete manuscript) on Heidegger in order to produce this book, which is divided into four parts: “Early Papers on Heidegger”; “Dasein Disclosed”; “Late Papers on Heidegger”; and “Papers on Heideggerian Themes” (xxxvi-xxxviii). Haugeland’s goal was to discuss Heidegger’s work in such a way as to make it more accessible for those who practice Anglo-American or “analytic” philosophy (48). This review intends to elucidate each part, with particular emphasis on part two “Dasein Disclosed,” which is the incomplete manuscript of this posthumously published book.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.005 |
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".