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Record W2169405738 · doi:10.1080/0020174x.2014.894275

Minimalism about Intention: A Modest Defense

2014· article· en· W2169405738 on OpenAlexaff
Sergio Tenenbaum

Bibliographic record

VenueInquiry · 2014
Typearticle
Languageen
FieldNeuroscience
TopicFree Will and Agency
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMinimalism (technical communication)RationalitySketchEpistemologySkepticismSimple (philosophy)Rational agentSociologyPsychologyPhilosophyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Intentions have recently played a starring role in theories of practical rationality. Michael Bratman’s Intention, Plans, and Practical Reason (New York: Cambridge University Press, 1999) brought to everyone’s attention the importance of plans, general intentions, etc. in the life of a rational agent and argued for various requirements governing intentions, especially future-directed intentions. At the same time, there has been a general tendency to formulate more traditional principles of practical rationality in terms of intentions. Intentions, but not actions, seem to be under the rational control of the agent.In ‘Minimalism about Intention’, I first explain and motivate a general deflationist view of intention I call ‘minimalism’ about intentions. Minimalism contrasts with more robust views of intention, and in particular views that imply the existence of intention specific rational requirements; that is, rational requirements governing intentions that are not simple consequences of rational requirements on actions. I then distinguish four different types of putative rational requirements that are incompatible with minimalism. I argue that three of these requirement are supposed to be based on what I call ‘internal’ grounds. I then argue that these grounds are incapable of justifying any kind of rational requirement that is incompatible with minimalism. Detailed examination of the fourth type of putative requirement is left for another occasion, as it is supposed to be based on an entire different kind of justification (what I call ‘external’ grounds); however, I briefly sketch some reasons to be skeptical that this kind of justification would succeed. In sum, this paper tries to show that minimalism about intention turns out to be a rather plausible and compelling view.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.008
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0030.028
Scholarly communication0.0060.012
Open science0.0030.007
Research integrity0.0050.012
Insufficient payload (model declined to judge)0.0080.002

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 head0.075
GPT teacher head0.290
Teacher spread0.215 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations8
Published2014
Admission routes1
Has abstractyes

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