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Record W2613920859

The Old and the New: The Relationship Between Intertextuality and Originality in Writing

2017· article· en· W2613920859 on OpenAlexaff
Daniella Conley

Bibliographic record

VenueVerso: An Undergraduate Journal of Literary Criticism · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsDalhousie University
Fundersnot available
KeywordsOriginalityKaleidoscopeIntertextualityStyle (visual arts)Context (archaeology)UtteranceNegotiationLiteratureSociologyAestheticsEpistemologyLinguisticsArtPhilosophyVisual artsHistorySocial science
DOInot available

Abstract

fetched live from OpenAlex

Deftly negotiating the abstract and applied, Daniella Conley’s essay achieves what we all strive for in our teaching and our research. In its cogent application of theory to practice, the essay takes up some disparate and complex ideas about intertextuality, audience, and originality articulated by writers and theorists as well known as Charles Bazerman, Walter Ong, and Mark Twain. It is through this social constructionist lens that Daniella considers what it means to be “original,” and it is in the nebulous and troublesome concept we know as “style,” she argues, that we can find more than the moving yet contiguous parts that make up Twain’s kaleidoscope of “new and curious combinations.” Even in a context inseparable from those who have already written and those who have yet to read, and as much as the written utterance may be shaped by both, it remains equally true that poets are born as well as made - style may indeed make the writer but, Daniella reminds us, there is no denying that the writer also makes style. —Dr. Lyn Bennett

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0010.000
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 head0.066
GPT teacher head0.321
Teacher spread0.255 · 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 designTheoretical or conceptual
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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