MétaCan
Menu
Back to cohort

The harm principle and the greatest happiness principle: the missing link

2014· article· en· W2074816518 on OpenAlex
Cinara Nahra

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueKriterion Revista de Filosofia · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Theory and Influence
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHappinessHarmPleasureArgument (complex analysis)Value (mathematics)MillNothingHarm principleEpistemologyPsychologyLawSocial psychologySociologyPositive economicsLaw and economicsPhilosophyEconomicsPolitical scienceMathematics

Abstract

fetched live from OpenAlex

In this article I present a possible solution for the classic problem of the apparent incompatibility between Mill's Greatest Happiness Principle and his Principle of Liberty arguing that in the other-regarding sphere the judgments of experience and knowledge accumulated through history have moral and legal force, whilst in the self-regarding sphere the judgments of the experienced people only have prudential value and the reason for this is the idea according to which each of us is a better judge than anyone else to decide what causes us pain and which kind of pleasure we prefer (the so-called epistemological argument). Considering that the Greatest Happiness Principle is nothing but the aggregate of each person's happiness, given the epistemological claim we conclude that, by leaving people free even to cause harm to themselves, we still would be maximizing happiness, so both principles (the Greatest Happiness Principle and the Principle of Liberty) could be compatible.

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.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.919
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.327
Teacher spread0.307 · 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