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Record W4417288391 · doi:10.1017/9781009356848.005

Third Collection

2025· book-chapter· W4417288391 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2025
Typebook-chapter
Language
FieldArts and Humanities
TopicPentecostalism and Christianity Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanityHuman scienceCharacter (mathematics)MoralityThe artsState (computer science)

Abstract

fetched live from OpenAlex

The concept of Humanity is defined as the character of the human species, and it is distinguished from other similar concepts: humankind, humanness, human rights, human obligations, human dignity, and human mutual love. Humanity encompasses the spirit of general reason, and Marcus Aurelius is cited as a prime example of this spirit. The purpose of social and state institutions, of the arts and sciences is to humanize. This is borne out by Lucretius, Homer, Shaftesbury, Lessing, Diderot, and Swift, and citations of their works are given as testimony. Lessing’s Emilia Galotti is read as an example of how morality is realized in the theatre. The chapter closes with a poem by Ludwig Gleim as an example of human goodness.

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)0.005
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 score0.563
Threshold uncertainty score0.623

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.008
Science and technology studies0.0040.001
Scholarly communication0.0110.005
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.5630.379

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 head0.026
GPT teacher head0.193
Teacher spread0.167 · 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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