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Record W2028234525 · doi:10.1177/1075547007305165

Notes on Metaphors, Notes as Metaphors

2007· article· en· W2028234525 on OpenAlexaffabout
José Julián López

Bibliographic record

VenueScience Communication · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMetaphorCommodificationExhibitionContext (archaeology)SociologyMusicalSalience (neuroscience)EpistemologyRhetorical questionCognitive scienceAestheticsPsychologyLinguisticsVisual artsArtCognitive psychologyHistoryPhilosophy

Abstract

fetched live from OpenAlex

This article is a contribution to the growing body of work that has emphasized the need to develop a theoretical framework capable of exploring metaphorical communication as a social rather than just as a cognitive process. The author draws attention to some of the social dynamics through which the inherent poly-valence of metaphors becomes stabilized, though never entirely neutralized. Specifically, he highlights the ways in which context, practices, and space serve to close down potential meanings. This is followed by an analysis of the deployment of a musical metaphor—nucleotide-bases-as-musical-notes that produce the “music of life”—in the context of a traveling science exhibition, The Geee! in Genome, whose stated goal is to educate and stimulate debate among the Canadian public. The author shows that although the musical metaphor lacks heuristic utility as a tool for explaining the “science” in the exhibition, it contributes to the staging of genomics and “life” itself as a spectacle; this makes it possible to frame contentious issues around genetic determinism, biotechnology-enabled health care, enhancement, commodification, and property rights in a more hospitable semantic terrain.

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)0.003
metaresearch head score (Gemma)0.009
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 score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.049
Scholarly communication0.0080.017
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.456
GPT teacher head0.510
Teacher spread0.054 · 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

Citations19
Published2007
Admission routes2
Has abstractyes

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