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Record W4232130510 · doi:10.1057/9781137346346_6

Afterword

2013· book-chapter· en· W4232130510 on OpenAlexaff
Alex Wetmore

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2013
Typebook-chapter
Languageen
FieldArts and Humanities
TopicNarrative Theory and Analysis
Canadian institutionsUniversity of the Fraser Valley
Fundersnot available
KeywordsMetafictionSensibilityNarrativeReflexivityLiteratureSkepticismIdentity (music)Period (music)CriticismHistoryLiterary criticismAestheticsArtPhilosophySociologyEpistemologyAnthropology

Abstract

fetched live from OpenAlex

From the second decade of the twenty-first century, we can seem quite far away from a period that saw the rise of a culture of sensibility and, more specifically, saw the production of popular and critically-respected novels in which somatic scepticism, narrative self-reflexivity, and sentimentalism consistently converged and mutually reinforced one another. As I have noted, since the linguistic turn in the late twentieth century, self-reflexivity in literary works has become virtually synonymous with a self-awareness of texts as products of language. In conventional definitions of metafiction little to no attention is paid to the possibility that a text might reflect back on its own status primarily as a material, printed object. Nor is this linguistic bias in criticism all that surprising given that many works of contemporary metafiction, such as Paul Auster’s City of Glass, John Fowles’ The French Lieutenant’s Woman, or Thomas King’s Green Grass, Running Water, frequently deploy self-referential practices to explore how language fundamentally shapes history, identity and culture.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.564
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1020.007

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 head0.026
GPT teacher head0.211
Teacher spread0.185 · 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 designTheoretical or conceptual
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
Published2013
Admission routes1
Has abstractyes

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