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Record W7017881168

Brandomâs Account of Defeasible Reasoning: Problems and Solutions

2012· dissertation· en· W7017881168 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2012
Typedissertation
Languageen
FieldArts and Humanities
TopicEpistemology, Ethics, and Metaphysics
Canadian institutionsnot available
Fundersnot available
KeywordsDefeasible estateEntitlement (fair division)InferenceDefeasible reasoningRelation (database)Context (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Robert Brandom has provided what is probably one of the best worked out accounts of how the meanings of linguistic expressions are determined by how they are used—in particular, used in inferences. There are three different types of inferential relations in terms of which Brandom gives his account: commitment-preserving, entitlement-preserving, and incompatibility relations.\n\nBrandom also recognizes that most of the reasoning we engage in is defeasible (or deductively inconclusive). For example, the inference from ‘Tweety is a bird’ to ‘Tweety can fly’ is defeasible, because it can be defeated if there is stronger overriding reason to deny that ‘Tweety can fly’—such as Tweety’s being a penguin. Surprisingly, Brandom’s three types of inferential relations are inadequate for describing defeasible inference. In my dissertation I explain how the problem arises—it’s actually two problems—and I propose a solution that is consistent with Brandom’s overall approach.\n\nThe first problem is that although Brandom's account does explain how someone can lose entitlement to a claim by committing themselves to some other claim, as in the Tweety example, it doesn’t allow subsequent recovery of entitlement to that claim by the addition of yet further information—say, that Tweety is a penguin with a jetpack. Once defeated (by some information), an inference stays defeated, on Brandom's account. The second problem is that of interpretation: when should we interpret someone as committed to the propriety of an inference that is defeasible? Brandom's account of what it is to endorse an inferential relation has no room for the important distinction between endorsing an inference in a context in which it happens to be defeated, and not endorsing it at all.\n\nIn the latter portion of this dissertation I propose various modifications to Brandom’s account that will allow it overcome these problems. I solve the first problem by modifying Brandom’s account of how someone is obliged to update their beliefs in light of the inferential relations they endorse. I solve the second problem by modifying Brandom’s account of when we can appropriately interpret someone as endorsing particular inferential relations.

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)0.005
metaresearch head score (Gemma)0.011
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 score0.010
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.004
Science and technology studies0.0030.015
Scholarly communication0.0070.020
Open science0.0030.006
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0100.001

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 head0.017
GPT teacher head0.175
Teacher spread0.158 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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