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Record W7008166242

The Birth of a Novella: On Lyra and the Creative Writing Process

2017· dissertation· en· W7008166242 on OpenAlexaboutno aff

Bibliographic record

VenueSkemman · 2017
Typedissertation
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsnot available
Fundersnot available
KeywordsNovellaLife writingBattleExposition (narrative)GirlCreative writingWriting processIndeterminacy (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

This essay is written as a B.A. thesis for the University of Iceland and explores the process of creative writing. It consists of two parts. The first part is a novella, Lyra, which is about a twenty-three year old girl named Lyra. When we first meet Lyra in the novella she is sitting at the top of a very tall building in Vancouver, Canada, having trouble deciding whether she should jump or not. The novella focuses on major events in her life including her battle with anorexia, her stay at an inpatient eating disorder treatment clinic and how she tries to cope with the death of her girlfriend, Claire. Lyra, who is living in Miami, Florida, when her girlfriend commits suicide, decides to move back to her hometown in Canada. She wants get as far away from her ignorant mother and the man who she refuses to call her stepfather as she can. But moving to Canada does not make living without the love of her life any easier and her internship at The Northern Star does not live up to her expectations. Lyra has to decide whether life is worth living without Claire and if she is capable of living a normal life without her. \nThe second part is an exposition on the writing process. It explores where the best ideas usually come from, how they transform during the creative writing process and how an author can use his or her own experience and others to create fiction. It also explains where the idea for this particular novella came from and how it developed. It discusses the main elements of a story such as plot, setting, narration and characters. At last it touches on the subject of writer’s block and any roadblocks an author may encounter and how to solve them.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.028
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0180.033
Scholarly communication0.0280.014
Open science0.0020.012
Research integrity0.0030.010
Insufficient payload (model declined to judge)0.0080.003

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 head0.035
GPT teacher head0.332
Teacher spread0.297 · 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 source (direct Gemma or distilled Codex), 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
Published2017
Admission routes1
Has abstractyes

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