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Record W4388005020 · doi:10.1353/hms.2023.a910741

Editors’ Introduction

2023· article· en· W4388005020 on OpenAlexvenueaboutno aff
Elizabeth S. Radcliffe, Mark G. Spencer

Bibliographic record

VenueHume studies · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsnot available
Fundersnot available
KeywordsPassionCompetition (biology)EnlightenmentPoliticsClassicsScottish EnlightenmentPromotion (chess)PhilosophySociologyMedia studiesEpistemologyHistoryLawPolitical sciencePsychology

Abstract

fetched live from OpenAlex

Editors’ Introduction Elizabeth S. Radcliffe and Mark G. Spencer This issue opens with the winning essay in the Second Annual Hume Studies Essay Prize competition: “Hume’s Passion-Based Account of Moral Responsibility,” by Taro Okamura. Dr. Okamura’s essay was chosen as the 2022 winner from among papers submitted by emerging scholars from August 2021 through July 2022. Dr. Okamura received his Ph.D. from the University of Alberta in 2022. He is currently a Japan Society for the Promotion of Science Research Fellow at the Graduate School of Humanities and Sociology at the University of Tokyo. The competition for the Third Prize closed on August 1, 2023, and the winner will be announced in our next issue. Please see the Call for Papers for the fourth competition in the back of this issue. The competition is open to authors ten or fewer years from the Ph.D. A special aspect of our current issue is its spotlight on Hume’s Essays, Moral, Political, and Literary. Renowned Dutch Enlightenment scholar, Frederic L. van Holthoon, presents his analysis of some of Hume’s essays, which he argues constitute Hume’s project of writing on political, or public, issues—a goal he did not get to complete with the Treatise. Also, established Hume scholar Lorne Falkenstein offers an extended review of the newly published Clarendon edition of Hume’s essays, in two volumes (edited by Tom L. Beauchamp and Mark A. Box, with Michael Silverthorne, J. A. W. Gunn, and F. David Harvey). Finally, we want to bring to the attention of our readers that, in fewer than two years, Hume Studies will be marking the 50th anniversary of its first publication. For this event, we are planning a special jubilee issue, 50:1 (April 2025). We hope to include among the unique features of that issue paragraphs or statements from our readers in answer to this query: “Of all of the articles that have been published in Hume Studies over the past 50 years, which one is most noteworthy to you? Why so?” Please see the “Call for Entries” in the back of this issue and on the Hume Studies website. We invite your responses! [End Page 193] Copyright © 2023 Hume Studies

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.010

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.

Opus teacher head0.077
GPT teacher head0.266
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

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