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Record W1795701457 · doi:10.3917/rip.270.0419

Analogical Reasoning and Semantic Rules of Inference

2014· article· en· W1795701457 on OpenAlexaff
Fabrizio Macagno, Douglas Walton, Christopher W. Tindale

Bibliographic record

VenueRevue internationale de philosophie · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicClassical Philosophy and Thought
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsInferenceComputer scienceNatural language processingArtificial intelligenceRule of inferenceEpistemologyCognitive sciencePhilosophyPsychology

Abstract

fetched live from OpenAlex

The nature of Aristotle’s topics has been a crucial issue in the Middle Ages (Abaelardi Dialectica, 254) and in the modern and contemporary studies on natural inferences (De Pater 1965; Stump 1982; 1988; Kienpointnter 1986). One of the crucial debates concerned their function, i.e. whether they were instruments for fi nding arguments or rules on which dialectical and rhetorical inferences were based (Bird 1962). The interpretation of the Aristotelian topics as rules of inference, defended by Abelard and Ockham (Bird 1962; Stump 1989), is of fundamental importance for the analysis of natural inferences and argumentation studies in general, as it would lead to a more complex formalization based on the semantic relations between the terms of a consequence (Bird 1960). Inferences such as “This pen is red; therefore it is colored” cannot be considered as purely logical, in the sense of purely formalized according to the semantic system used in modern formal logic. Inferences of this kind hold in virtue of semantic relations between the terms in the antecedent and the consequent, called habitudo in the ancient dialectical theory (Abaelardi Dialectica, 263-264). The habitudo is the semantic-ontological respect under which the terms are connected to each other, and on which the force of the inference depends (Abaelardi Dialectica 254; Rigotti & Greco Morasso 2010: 494). In the example above, the passage from the quality “to be red” attributed to the subject to the different quality “to be colored” is grounded on a relation of semantic inclusion between these two predicates, i.e. a genus-species relation (Bird 1962: 309). This relationship guarantees the inference based on a rule (the maxim) that expresses a necessary consequence of the concept of genus itself. The genus expresses the generic fundamental features of a concept, answering to the question “what is it?”, and is attributed to all the concepts different in kind (Topics 102a 31-32). For this reason, it is predicated of what the species is predicated of. This rule

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 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: Empirical
Teacher disagreement score0.333
Threshold uncertainty score0.344

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)0.0000.000

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 head0.050
GPT teacher head0.260
Teacher spread0.210 · 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.

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

Citations15
Published2014
Admission routes1
Has abstractyes

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