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Record W2589771262 · doi:10.1017/cco9780511791581

The Cambridge Companion to Aristotle's Politics

2013· book· en· W2589771262 on OpenAlexaff
Marguerite Deslauriers, Dorothea Frede, Fred D. Miller, Karen Margrethe Nielsen, P. Pellegrin, Andrés Rosler, Donald F. Morrison, Marco Zingano, Christoph Horn, Melissa Lane, Antony Hatzistavrou, Pierre Destrée, Bryan Garsten, Richard Kraut

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicSeventeenth-Century Political and Philosophical Thought
Canadian institutionsMcGill University
Fundersnot available
KeywordsPoliticsPolitical philosophyDemocracyDeliberationEconomic JusticeCitizenshipState (computer science)Relation (database)LawPolitical scienceAncient philosophyEpistemologyPhilosophySocial scienceSociology

Abstract

fetched live from OpenAlex

One of the most influential works in the history of political theory, Aristotle's Politics is a treatise in practical philosophy, intended to inform legislators and to create the conditions for virtuous and self-sufficient lives for the citizens of a state. In this Companion, distinguished scholars offer new perspectives on the work and its themes. After an opening exploration of the relation between Aristotle's ethics and his politics, the central chapters follow the sequence of the eight books of the Politics, taking up questions such as the role of reason in legitimizing rule, the common good, justice, slavery, private property, citizenship, democracy and deliberation, unity, conflict, law and authority, and education. The closing chapters discuss the interaction between Aristotle's political thought and contemporary democratic theory. The volume will provide a valuable resource for those studying ancient philosophy, classics, and the history of political thought.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.010
Scholarly communication0.0060.005
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0310.009

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 head0.041
GPT teacher head0.234
Teacher spread0.193 · 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 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

Citations56
Published2013
Admission routes1
Has abstractyes

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