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Record W917261494

Commentary on: James B. Freeman's "What types of arguments are there?"

2013· article· en· W917261494 on OpenAlexaff
David Hitchcock

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2013
Typearticle
Languageen
FieldPsychology
TopicPhilosophy and Theoretical Science
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsWarrantArgument (complex analysis)A priori and a posterioriEpistemologyDefeasible estatePhilosophyEconomics
DOInot available

Abstract

fetched live from OpenAlex

James Freeman proposes to classify arguments on two dimensions. An argument is “defeasible” if its warrant admits of exceptions, “conclusive” otherwise. It is “a posteriori” if its warrant has to be backed by sense experience, “a priori” otherwise. Freeman argues that all four theoretically possible combinations are actualized. In particular, there are defeasible a priori arguments; the generalizations associated with their warrants are synthetic a priori judgments of the sort recognized by Kant. And there are conclusive a posteriori arguments, whose warrants are universal but based on sense experience. The point of Freeman’s classification is to provide a framework for assessing what he calls, following Govier, the “ground adequacy” of an argument: whether its supporting reasons, if they are acceptable, are jointly sufficient to justify acceptance of its conclusion. Exceptions to an argument’s warrant undermine ground adequacy if the argument is conclusive but not if it is defeasible. Analogously, attention to the extent and variety of observations supporting an argument’s warrant is appropriate for assessing ground adequacy if the argument is a posteriori, but not if it is a priori. The classification scheme thus implies and reflects a pluralistic approach to assessing ground adequacy. 2. TYPES OF WHAT? There is much to agree with, and to reinforce, in Freeman’s proposal. But there is one major respect in which the proposal is misdirected. Freeman is really classifying ways in which reasons can provide adequate grounds for a claim—if you like, kinds of ground adequacy. His taxonomy does not cover arguments in which the reasons are inadequate. Further, arguments generally do not come with their warrant preidentified. The warrant must usually be elicited, with a question like “How does that follow?” And in general more than one answer to that question is defensible. Hence, we cannot classify arguments by their warrants. Further, arguments generally do not carry on their face an indication of whether their reasons support their claim conclusively or defeasibly. One might be tempted, however, to use Freeman’s classification scheme, or any taxonomy of ways a conclusion can follow from given reasons, to classify

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.001

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 head0.022
GPT teacher head0.246
Teacher spread0.225 · 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; both teacher heads agree on what is shown here.

Study designObservational
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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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