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Record W7022174007

Descent: A Novella

2023· other· en· W7022174007 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNovellaNarrativeFilm directorThe artsImmigrationIdentity (music)Life writingIdentity formationNarrative identity
DOInot available

Abstract

fetched live from OpenAlex

The novella follows Yanet, a 23-year-old Film Production student and aspiring filmmaker living in Toronto, as she struggles with ebbing friendships and artistic failures after being put on academic probation at her university a year after the death of her father. The story is told in first-person narration to reflect Yanet’s stream-of-consciousness about her experience and the various relationship dynamics between her close friends, her Colombian immigrant parents, and her siblings. The title gestures to the narrative tailspin following Yanet’s academic probation and to one’s familial and cultural origins. The coming-of-age story explores a number of overlapping themes: grief, failure, artistic aspirations, and the formation of a cultural identity for children of immigrants in Toronto. Her friends, Paola and Toni, are students at the same university, and they are in their final term before graduating. A fourth friend, Michelle, has already graduated, and Yanet attends the release of Michelle’s first film. The narrative follows the protagonist’s endeavor to complete her capstone project, a documentary of female friendship, among a burgeoning arts community in Toronto, and as she attends the anniversary mass of her father’s death. Divided into three parts, the novella’s structure symbolizes how Yanet partitions her life: her social life downtown and her family life are kept separate, with her friend, Paola, being the only link between the two. Something of an anti-Künstlerroman, Yanet struggles to fulfill her artistic potential and fails in many ways.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0170.005
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0180.004

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 head0.043
GPT teacher head0.287
Teacher spread0.244 · 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 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
Published2023
Admission routes1
Has abstractyes

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