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Record W6981340239

Early modern English anxieties: English-Ottoman encounters in The Fair Maid of the West Parts I & II, and The Renegado

2018· dissertation· en· W6981340239 on OpenAlexaff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicData Analysis and Archiving
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsEarly Modern EnglishPeriod (music)Queen (butterfly)English literatureModern EnglishEarly modern period
DOInot available

Abstract

fetched live from OpenAlex

The late sixteenth and early seventeenth centuries marked a period during which
\nEngland increased its participation in overseas exploration, trade, and colonization, and
\nwas embroiled at home in religious discord and the transference of the English crown
\nfrom Queen Elizabeth I to King James I and then to King Charles I. Playwrights
\nresponded to the sense of uncertainty that emerged from such social and political
\ninstability through fictionalized depictions of English-Ottoman encounters in the
\nMediterranean that involved romance, violence, and religious conversion. This project
\ncontains analyses of three such plays: Thomas Heywood’s The Fair Maid of the West
\nPart I (c. 1600) and Part II (c. 1630), and Philip Massinger’s The Renegado (c. 1624),
\nand interrogates the dramatists’ portrayals of conflicts between Ottomans and Europeans
\nin the Mediterranean. This thesis considers how such portrayals signify the anxieties of
\nthe early modern English through themes of race, sexuality, gender, class, nation, and
\nreligion, and how these intersecting factors contributed to on-stage representations of
\nnascent English identity.

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 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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0060.003
Scholarly communication0.0000.001
Open science0.0040.001
Research integrity0.0000.001
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 head0.018
GPT teacher head0.263
Teacher spread0.245 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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
Published2018
Admission routes1
Has abstractyes

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