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Record W4242009457 · doi:10.1080/13574175.2017.1317028

Reforming Massacre

2017· article· en· W4242009457 on OpenAlexaff
Kristin Lucas

Bibliographic record

VenueReformation · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicColonialism, slavery, and trade
Canadian institutionsNipissing University
Fundersnot available
KeywordsDemiseDramaProtestantismDictionTeleologyPhilosophyHistoryLawAncient historyArtLiteratureTheologyPolitical sciencePoetry

Abstract

fetched live from OpenAlex

Marlowe's The Massacre at Paris is known for having a fractured perspective, which nullifies difference between Protestant and Catholic factions. The troubling instability of Marlowe's play is brought into focus by attending to medieval representations of massacre, namely the Slaughter of the Innocents. In medieval pageants, Herod's massacre is aligned with Christ's escape into Egypt, and sometimes with Herod's own hellish demise. As such, massacre is absorbed into sacred order. In Marlowe's The Massacre at Paris, the cohesive perspective of the earlier drama is in turn suggested and suppressed. In diction and structure, Marlowe's play alludes to the Slaughter of the Innocents and the teleological pattern found in the middle ages. But instead of paving the way for redemption, the Guise's atrocity brings only further bloodshed. Substituting factional violence for salvation, The Massacre at Paris enacts the tremendous social rifts brought about by the Reformation, and underscores the need for a considered response to state violence.

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)0.002
metaresearch head score (Gemma)0.005
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: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0080.011
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0110.001

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 head0.039
GPT teacher head0.366
Teacher spread0.327 · 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
GenreEmpirical

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
Published2017
Admission routes1
Has abstractyes

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