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Record W7004637270

Jo's pants

2015· dissertation· en· W7004637270 on OpenAlexaboutno aff

Bibliographic record

VenueCSUN ScholarWorks (California State University, Northridge) · 2015
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsHeading (navigation)Spanish Civil WarDestiny (ISS module)WifeBit (key)Quarter (Canadian coin)PretextSettlement (finance)
DOInot available

Abstract

fetched live from OpenAlex

Jo ???s Pants is a full length play in three acts, representing the three waves of feminism. It \nis a farcical interquel to the beloved coming-of-age novel Little Women by Louisa May Alcott. The fact that Little Women had a sequel entitled Good Wives may be a footnote lost to history, as both parts are now published as one. However, Alcott was not keen on \nwriting a sequel, and never intended to marry off her title character, Jo. In this adaptation, Jo rebels against her destiny and rewrites her own narrative. In the Civil War era, she runs away on the ???Underground Railroad??? for emancipating women, and arrives at the first safe house in Boston in the 1970s. There she is exposed to feminist literature and consciousness-raising circles, but is expelled for her nonconforming behavior. Still following her true spirit, she hops on a train heading West and arrives in San Francisco, where she may legally marry a woman and do something truly splendid with her life. This is a play for five actors, and breaks ground with a transgender main character.

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)0.003
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 score0.181
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0060.002
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.1810.088

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 head0.008
GPT teacher head0.246
Teacher spread0.238 · 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
Published2015
Admission routes1
Has abstractyes

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