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Record W92355473

Entry Level: A Collection of Short Stories

2011· dissertation· en· W92355473 on OpenAlexfundno aff
Julie McIsaac

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2011
Typedissertation
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHuman sexualityConstruct (python library)Gender studiesSpace (punctuation)Class (philosophy)PsychologySociologyEpistemologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

ENTRY LEVEL is a short story collection that explores intersections between class and sexuality. The female characters are tied to their biology through tropes of motherhood, pregnancy and pubescent development, all of which visibly signify gender. However, the degree to which the individual women in this collection internalize the role of “mother” or “woman” varies. \n \nThe relationships of these women to their bodies are mediated by their roles as workers and by their class. The workplace provides an apt space to explore gender difference, since so often work is coded, either implicitly or explicitly, as belonging to women. Although these stories do not take place in overtly sexualized environments, sexuality always intervenes in the work the women do. \n \nIn many of these stories, women form collectives within their working class environments. Through humour and camaraderie, these characters reveal and construct joy in their lives.

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)0.007
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 score0.077
Threshold uncertainty score0.257

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0030.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0770.023

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 head0.081
GPT teacher head0.332
Teacher spread0.250 · 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
Published2011
Admission routes1
Has abstractyes

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