EV - 191 Utopian Sociology with William Paris
Bibliographic record
Abstract
My guest this week is William Paris (@WilliamMParis), the Frank B Weeks Visiting Assistant Professor at Wesleyan, starting assistant professor as University of Toronto, and cohost of the What's Left of Philosophy podcast. We discuss the role of utopia in the work of Du Bois and how it allows the possible to permeate the actual.Convocation: Utopia by Thomas MoreEditing by Lu Lyons, check out her amazing podcast Filmed Live Musicals! http://www.filmedlivemusicals.com/podcast.htmlMusic by GW RodriguezSibling Pod Philosophers in Space: https://0gphilosophy.libsyn.com/Support us at Patreon.com/EmbraceTheVoidIf you enjoy the show, please Like and Review us on your pod app, especially iTunes. It really helps!If you enjoyed this and want to discuss more, start a conversation with me here: https://letter.wiki/AaronRabinowitz/conversationsRecent Appearances: Aaron was on Decoding the Gurus talking about Michael O'Fallon and his conspiracy theory projects with his friend James Lindsay: https://twitter.com/ETVPod/status/1390128269433913349?s=20Next week: Social Economy and Agency with Lillian Cicerchia
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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) | 0.292 | 0.004 |
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".