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Record W4385693333 · doi:10.21428/cb6ab371.6e551d7d

Happiness and Utility: Essays Presented to Frederick Rosen

2023· preprint· en· W4385693333 on OpenAlexfundno aff
Georgios Varouxakis, Mark Philp

Bibliographic record

VenueCrimRxiv · 2023
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsnot available
FundersGeorg-August-Universität GöttingenUniversity of OxfordKillam TrustsRoyal Historical SocietyQueen Mary University of LondonTulane University
KeywordsHappinessPositive economicsEconomicsPsychologySocial psychology

Abstract

fetched live from OpenAlex

Happiness and Utility brings together experts on utilitarianism to explore the concept of happiness within the utilitarian tradition, situating it in earlier eighteenth-century thinkers and working through some of its developments at the end of the nineteenth and beginning of the twentieth centuries. Drawing on a range of philosophical and historical approaches to the study of the central idea of utilitarianism, the chapters provide a rich set of insights into a founding component of ethics and modern political and economic thought, as well as political and economic practice. In doing so, the chapters examine the multiple dimensions of utilitarianism and the contested interpretations of this standard for judgement in morality and public policy. \n \nThe chapters are written in celebration of the career of Professor Frederick Rosen. They follow his work by concentrating on Bentham and the two Mills, and by the subtleties and sophistication of their understanding of one of the most alluring but elusive ideas of modern times. The volume will be of interest not only to admirers of Rosen but to academics and postgraduate students in disciplines such as Philosophy, Political Theory, History of Political Thought, Legal Theory and Legal History.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0040.004
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.132
GPT teacher head0.271
Teacher spread0.138 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2023
Admission routes1
Has abstractyes

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