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Record W4386804386 · doi:10.1111/phib.12320

Advice as a model for reasons

2023· article· en· W4386804386 on OpenAlex
Andrew Sneddon

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

VenueAnalytic Philosophy · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophical Ethics and Theory
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPessimismAdvice (programming)Action (physics)HumanityEpistemologyPsychologyPositive economicsSociologyPhilosophyEconomicsLawPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Abstract Smith ( Philosophy and Phenomenological Research , 55 , 1995, 109) and Manne ( Philosophical Studies , 167 , 2014, 89), both following Williams ( Making sense of humanity , Cambridge University Press, Cambridge, 1995), have developed advice‐based models of practical reasons. However, advice is not an apt model for reasons. The case for such pessimism is made by examining the positions of Smith and Manne first as attempts to explain the nature of reasons, then as suggestions for reforming our conception of reasons for action. The explanatory projects fail: both views either omit or distort ordinary reasons. The reforming project fails because insufficient reason is provided for thinking that the significant extent of revision offered by these models is worth it. Overall, the advice‐based approach to understanding reasons fails because advising is a social practice to aid with decisions, whereas reasons are considerations that favour action regardless of whether these considerations are inputs to or outputs from such a practice.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.976
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)0.0000.001

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 head0.102
GPT teacher head0.307
Teacher spread0.205 · 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