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Record W2801048049 · doi:10.1017/s0953820818000067

Scales for Scope: A New Solution to the Scope Problem for Pro-Attitude-Based Well-Being

2018· article· en· W2801048049 on OpenAlex

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 · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsScope (computer science)Subject (documents)Relevance (law)EpistemologyPsychologyScale (ratio)LimitingSocial psychologyAffect (linguistics)Tone (literature)WishWell-beingSociologyPhilosophyComputer sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

Theories of well-being that give an important role to satisfied pro-attitudes need to account for the fact that, intuitively, the scope of possible objects of pro-attitudes seems much wider than the scope of things, states or events that affect our well-being. Parfit famously illustrated this with his wish that a stranger may recover from an illness: it seems implausible that the stranger's recovery would constitute a benefit for Parfit. There is no consensus in the literature about how to rule out such well-being-irrelevant pro-attitudes. I argue, first, that there is no distinction in kind between well-being-relevant and irrelevant pro-attitudes. Instead, well-being-irrelevant pro-attitudes are the limiting cases on the scale measuring how much of a difference pro-attitudes make to the subject's well-being. Second, I propose a particular scalar model according to which the well-being-relevance of pro-attitudes is measured either by their hedonic tone, or by the subject's conative commitment.

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)0.002
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.970
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.079
GPT teacher head0.381
Teacher spread0.302 · 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