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Record W4399162920 · doi:10.1017/9781009426374

The Architecture of the Science of Living Beings

2024· book· en· W4399162920 on OpenAlexaff
Andrea Falcon

Bibliographic record

VenueCambridge University Press eBooks · 2024
Typebook
Languageen
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsConcordia University
Fundersnot available
KeywordsArchitectureArtVisual arts

Abstract

fetched live from OpenAlex

Scholars have paid ample attention to Aristotle's works on animals. By contrast, they have paid little or no attention to Theophrastus' writings on plants. That is unfortunate because there was a shared research project in the early Peripatos which amounted to a systematic, and theoretically motivated, study of perishable living beings (animals and plants). This is the first sustained attempt to explore how Aristotle and Theophrastus envisioned this study, with attention focused primarily on its deep structure. That entails giving full consideration to a few transitional passages where Aristotle and Theophrastus offer their own description of what they are trying to do. What emerges is a novel, sophisticated, and largely idiosyncratic approach to the topic of life. This title is also available as Open Access on Cambridge Core.

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)0.001
metaresearch head score (Gemma)0.002
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: Other
Teacher disagreement score0.008
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.021
Scholarly communication0.0080.005
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.057
GPT teacher head0.287
Teacher spread0.230 · 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

Citations17
Published2024
Admission routes1
Has abstractyes

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