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Record W3166522088 · doi:10.1017/9781139998383.005

Political and Legal Thought

2021· book-chapter· en· W3166522088 on OpenAlexaff
Nancy E. Johnson

Bibliographic record

VenueCambridge University Press eBooks · 2021
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsLawPoliticsVirtuePolitical scienceDeliberationCivil law (Civil law)Natural lawCitizenshipStatuteSocial contractSociologyPublic law

Abstract

fetched live from OpenAlex

The eighteenth century was a period of dramatic change in political and legal thought. Much of the way in which we currently conceive of democratic institutions and the responsibilities and rights attached to citizenship can be traced back to concepts that dominated eighteenth-century thought. The social contract was debated by figures such as John Locke, Algernon Sidney, David Hume, Edmund Burke, and Mary Wollstonecraft. Among the many issues under deliberation were the validity of consent, the will of individuals, the role of virtue, and the rights of self-governance. Legal thought was very closely tied to political thought because law was a foundation of political authority. Natural law, which was associated with divinity, rose in importance because it protected inalienable rights, such as self-preservation. Positive law, that is, laws of civil society such as common law and statute law, could be reformed and updated as civil society evolved. This flexibility was praised by jurists such as Lord Mansfield, but it also drew attempts to clarify and systematize law by Sir William Blackstone and Jeremy Bentham, as they prepared the citizenry for a growing engagement with the law.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptuallow
models splitAgreement compares identical category sets and study designs across arms.

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 score0.017
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.012
Scholarly communication0.0060.004
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0170.005

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 head0.027
GPT teacher head0.247
Teacher spread0.220 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Theoretical 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueCambridge University Press eBooks→Same topicAmerican Constitutional Law and Politics→French-language works237,207→