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Record W4247252812 · doi:10.1515/9781501753497

Irregular Unions

2021· book· en· W4247252812 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCornell University Press eBooks · 2021
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Governance and Law
Canadian institutionsnot available
FundersUniversity of TorontoHarvard UniversityUniversity of OxfordUniversity of CambridgeUniversity of PennsylvaniaFolger InstituteFolger Shakespeare Library
KeywordsPolitical scienceBusiness

Abstract

fetched live from OpenAlex

Katharine Cleland's Irregular Unions provides the first sustained literary history of clandestine marriage in early modern England and reveals its controversial nature in the wake of the Elizabethan Religious Settlement, which standardized the marriage ritual for the first time. Cleland examines many examples of clandestine marriage across genres. Discussing such classic works as The Faerie Queene , Othello , and Merchant of Venice , she argues that early modern authors use clandestine marriage to explore the intersection between the self and the marriage ritual in post-Reformation England. The ways in which authors grapple with the political and social complexities of clandestine marriage, she finds, suggest that these narratives were far more than interesting plot devices or scandalous stories ripped from the headlines. Instead, after the Reformation, fictions of clandestine marriage allowed early modern authors to explore topics of identity formation in new and different ways.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.665
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.160
Teacher spread0.124 · 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