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Record W2925077376 · doi:10.1163/18756735-000064

Phantom Functions and the Evolutionary Theory of Artefact Proper Function

2019· article· en· W2925077376 on OpenAlexaff
Glenn Parsons

Bibliographic record

VenueGrazer Philosophische Studien · 2019
Typearticle
Languageen
FieldNeuroscience
TopicAesthetic Perception and Analysis
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsFunction (biology)Evolutionary theoryImaging phantomEpistemologyPhilosophyPhysicsEvolutionary biologyBiology

Abstract

fetched live from OpenAlex

The evolutionary theory of artefact proper function holds that an artefact’s proper function is that effect which explains the reproduction of past instances of the artefact type. This theory has many sources but received its clearest presentation in Beth Preston’s essay “Why Is a Wing Like a Spoon?” (1998). More recently, Preston has raised an objection to the theory, based on the phenomenon of ‘phantom functions’: these are functions that an artefact type is unable to perform, but which nonetheless apparently constitute its proper function. Deflecting qi energy, for example, is the proper function of feng shui mirrors, even though no feng shui mirror is able to do this (since qi does not exist). Preston concludes that the existence of phantom functions refutes the evolutionary theory of artefact proper function. In this paper, the evolutionary theory is defended, by arguing that it can adequately account for phantom function cases.

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)0.004
metaresearch head score (Gemma)0.007
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: Other · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0020.031
Scholarly communication0.0040.013
Open science0.0020.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.031
GPT teacher head0.240
Teacher spread0.209 · 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
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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