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Record W4417288393 · doi:10.1017/9781009356848.008

Sixth Collection

2025· book-chapter· W4417288393 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2025
Typebook-chapter
Language
FieldEngineering
TopicHuman auditory perception and evaluation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIdealizationSubject (documents)Ancient GreekReflexive pronounWork (physics)

Abstract

fetched live from OpenAlex

This chapter is, for the most part, devoted to an appraisal of Greek art as a school of humanity. Herder applies the model of nature’s force to the work of art. The force that produces the human form in the work of art also conditions the possibilities for viewing and understanding art. Art grounds visible categories of humankind and it renders visible the ideas that make these categories intelligible. Greek statuary is seen as a formalization of timeless categories of human life, but these categories are subject to the contingencies of interpretation. He discusses the Greek idealization of childhood, heroism, the gods, fauns, satyrs, and centaurs. He then concludes that there is no such thing as formless goodness and truth. This is followed by an appraisal of allegory. A text by Johann Christoph Berens is cited as an example of practical moral enlightenment. In this connection, the question of public morals is raised with respect to Homer and Montesquieu. Kant’s pursuit of truth is praised. The chapter closes with thoughts on freedom of thought and the state.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.593
Threshold uncertainty score0.581

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0030.001
Scholarly communication0.0090.004
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.5930.417

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 head0.028
GPT teacher head0.214
Teacher spread0.186 · 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.

Study designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractyes

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