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Record W2966602879 · doi:10.1017/s0953820819000256

On ‘Hybrid’ Theories of Personal Good

2019· article· en· W2966602879 on OpenAlex
Thomas Hurka

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

VenueUtilitas · 2019
Typearticle
Languageen
FieldNeuroscience
TopicFree Will and Agency
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPleasureValue (mathematics)EpistemologyElement (criminal law)State (computer science)Mathematical economicsSociologyPsychologyPhilosophyMathematicsLawPolitical scienceStatisticsAlgorithm

Abstract

fetched live from OpenAlex

‘Hybrid’ theories of personal good, defended by e.g. Parfit, Wolf, and Kagan, equate it, not with a subjective state such as pleasure on its own, nor with an objective state such as knowledge on its own, but with a whole that supposedly combines the two. These theories apply Moore's principle of organic unities, which says the value of a whole needn't equal the sum of the values its parts would have by themselves. This allows them, defenders say, to combine the attractions of purely subjective and purely objective views. This common understanding of the theories is, however, mistaken. At the most fundamental level they don't combine a subjective and an objective element but two objective ones. Once this is understood, their attraction as hybrid theories diminishes: the value in their wholes may be just the sum of the values in their parts.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score0.999

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)0.0020.001

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 head0.015
GPT teacher head0.235
Teacher spread0.220 · 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

Quick stats

Citations24
Published2019
Admission routes1
Has abstractyes

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