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Record W4386657679 · doi:10.3998/ergo.1120

Everywhere Chimerical

2021· article· en· W4386657679 on OpenAlexfundno aff
Jorah Dannenberg

Bibliographic record

VenueErgo an Open Access Journal of Philosophy · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophical Ethics and Theory
Canadian institutionsnot available
FundersSimon Fraser UniversityHarvard UniversityNorthwestern University
KeywordsObligationMoral obligationCategorical imperativeEpistemologyReverenceDutyLaw and economicsMainstreamPhilosophySociologyLawMoralityPolitical science

Abstract

fetched live from OpenAlex

I advance an approach to thinking about moral obligation and how it moves us that runs counter to mainstream thought in ethics. Many assume, with Kant, that bona fide moral obligation must involve some truly unconditional, categorical, or inescapable constraint. Following in Hume’s footsteps, I advocate for viewing our paradigmatic obligations as instead deriving from rules of important social practices, followed out of a felt sense of reverence or regard. I do not offer a complete defense of this more Humean approach here; instead, I respond to a familiar kind of objection. Some allege that seeing our obligations this way can lead to a troubling kind of conflict between an agent’s motive to fulfill her obligations and the very values that, for her, make a given practice and its rules worthy of her devotion. In such circumstances, the objector alleges, any motive to fulfill her obligations will amount to little more than an agent’s “worshiping” of the rules. I disarm this charge of “rule-worship” as it has been levied against the Humean approach, though not by denying that this sort of motivational conflict can arise. Instead, I argue that once the source and nature of conflict are better understood, its possibility is no threat. Indeed, far from a strike against it, the way that the Humean approach to obligation helps us to make good sense of this kind of conflict is ethically attractive, and thus a selling point.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient 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 score0.871
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0020.004
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.192
GPT teacher head0.401
Teacher spread0.209 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2021
Admission routes1
Has abstractyes

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