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Transforming Cultural Memory: The Shifting Boundaries of Post-Devolutionary Scottish Literature

2022· book-chapter· en· W4317768244 on OpenAlexaboutno aff
Carla Sassi

Bibliographic record

VenueEdinburgh University Press eBooks · 2022
Typebook-chapter
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsnot available
Fundersnot available
KeywordsMateriality (auditing)Cultural memoryHistoryGray (unit)Canadian literatureIdentity (music)SociologyAestheticsLiteratureArtAnthropology

Abstract

fetched live from OpenAlex

Carla Sassi offers a rich overall commentary on the role of the literary and ways of rethinking and remediating nationalism. Her contribution assesses how post-devolutionary texts engage with and reconfigure – possibly dissolve – conventional ideas of the nation, with reference to recent re-conceptualisations of the notion of cultural memory. Sassi turns her attention to a number of Scottish contemporary literary texts that signal a meaningful new paradigmatic shift in their relation to Scotland’s cultural memory, and indeed to ideas of Scottish national identity – a shift that, she argues, may be seen equal in its importance to that marked in 1981 by the publication of Alasdair Gray’s <italic>Lanark</italic>. Through an analysis of works ranging from James Robertson’s historical novels, David Greig’s stage adaptation of <italic>Lanark</italic> and Kathleen Jamie’s nonfiction to the recent publications of Malachy Tallack, Amy Liptrot and Ian Stephen, Sassi focuses on what she presents as two specific trends of twenty-first-century Scottish writing: the shift from a memory-as-history paradigm to a markedly literary one, and a new commitment to the materiality of the local – a celebration of ecological immanence – both of which may have important repercussions on ideas of Scottishness.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.950
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 studies0.0030.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.025
GPT teacher head0.196
Teacher spread0.172 · 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.

Study designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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