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Designators, descriptions, and artifact persistence

2019· article· en· W2950160625 on OpenAlexafffund
Kristan A. Marchak, D. Geoffrey Hall

Bibliographic record

VenueCognition · 2019
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsUniversity of British ColumbiaUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPersistence (discontinuity)PsychologyArtifact (error)Cognitive psychologyCognitive scienceDevelopmental psychologyNeuroscience

Abstract

fetched live from OpenAlex

Hobbes' (1672/1913) famous puzzle of the Ship of Theseus - in which a wooden ship's parts are replaced plank by plank, and the old planks are subsequently reassembled to create a second ship - has been the source of debate about the criteria that underlie human judgments of individual artifact persistence. This puzzle has led some philosophers to the paradoxical conclusion that an artifact observed at one time is the same persisting individual as two artifacts seen at a later time. We argue that prior discussions of the puzzle have conflated property persistence (judged in conjunction with a description, like "Theseus' ship") with individual persistence (judged in conjunction with a designator, like "X"). In three studies, we manipulated the linguistic expression (description, designator) used to label the original object in the puzzle. When participants solved the puzzle in conjunction with a description, they gave systematically high ratings to any object (either or both) that could be inferred to match the description. Yet when participants solved the same puzzle in conjunction with a designator, they gave significantly higher ratings to one post-change object (the object made of the reassembled old parts) than to the other post-change object (the object made of replacement parts). The results suggest that individual persistence judgments concerning the puzzle (i.e., those made in conjunction with a designating expression) are not paradoxical but rather are based on the continuity of the object's parts/material.

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)0.006
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.006
Scholarly communication0.0030.005
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.254
Teacher spread0.220 · 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 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".

Quick stats

Citations4
Published2019
Admission routes2
Has abstractyes

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