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Record W7052629466

Studies in the contextualisation of mid-sixteenth-century Scottish verse

2010· dissertation· en· W7052629466 on OpenAlexfundno aff

Bibliographic record

VenueEnlighten: Theses (The University of Glasgow) · 2010
Typedissertation
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
FundersMcGill University
KeywordsLiminalityHistoriographyMeaning (existential)The RenaissanceIdentity (music)Cultural identityPeriod (music)
DOInot available

Abstract

fetched live from OpenAlex

Studying Scottish culture generally poses agreeable challenges. For the student of Scottish Renaissance literature, a ease in kind is 'the liminal position of Scotland's "early modern moment'', overshadowed by the centralized and long-established canonization of the English Elizabethan Renaissance'.' However, such a challenge can be turned into an opportunity to emerge from under that shadow: 'precisely because in small, minority, emergent cultures ... identity can never be taken as given, these are privileged sites for the study of ... the formation of identity' and for the unsettling of dominant orthodoxies.2 Following that cue, the present thesis analyses the formation of Scottish cultural identity and interrogates 'dominant orthodoxies' of cultural-historical inquiry, both English and Scottish, in the area of mid-sixteenth-century Scottish literature, in particular in that most defining of contemporary genres, the short lyric. It will do so not by looking at the texts themselves (other than incidentally or indirectly), or through one or more particular literary-theoretical approaches, but rather by applying a more traditional model of cultural historiography in areas where the history of ideas and book history overlap, and in a manner that accommodates Quentin Skinner's advice that 'we should study not the meaning of the words, but their use'.3 The thesis does so by mapping the most likely audience (or: 'users') of the most important Scottish literary manuscript of the period in hand, the Bannatyne MS (compiled 1565-1568), complementing that by subsequently contextualising the life events of its most prominent lyricist alive at the time, Alexander Scott. The inclusion of biographical detail in both these components is not part of a psychoanalytical or Romantic 'life into text' model but rather tries to piece together what kind of sensibilities or (inter)national cultural influences Scott's connections suggest, and what the identity and cultural profile of his audience(s) may tell us of the poetics he was writing within or towards. The value of this approach lies in its aggregative synthesis, distinguishing literary and cultural-historical patterns in otherwise isolated studies of instances of literature, patterns that in their turn should inform future criticism of individual texts. The end result is a narrated database that is more than the sum of its parts, a matrix of cultural-historical reference that should function as a tool for future scholarship, including more exclusively textual studies of contemporary literature. To provide this matrix, the thesis in Chapter 1 sets out the nature of the problem, and the research question to be answered. In Chapter 2, a prosopographical study of the apparent mid-sixteenth-century network of readers of the Bannatyne MS will bring into focus cultural intermediaries (individuals, families, and printers, as well as institutions such as the Chapel Royal, church and court) that triggered, channeled, 'consumed' or otherwise engaged with cultural expression in contemporary lowland Scotland. Chapter 3 uses this enhanced awareness of the world of letters in contemporary Scotland and, in particular, Edinburgh, to inform an approach of its major lyricist that studies not what he writes, but - by analysing his life events and career as well as how these correlate to his most likely readership as outlined in Chapter 2 - why and how he writes, and how he, arguably, expected his work to be read.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.276
Threshold uncertainty score0.583

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 science0.0010.000
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 head0.020
GPT teacher head0.239
Teacher spread0.219 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2010
Admission routes1
Has abstractyes

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