MétaCan
Menu
Back to cohort
Record W2316712218 · doi:10.3167/ghs.2015.080201

A Miscellany from Textual Readings to Comedy

2015· article· en· W2316712218 on OpenAlexaboutno aff
Claudia Mitchell

Bibliographic record

VenueGirlhood Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Linguistic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSubversionMiscellanyNarrativeComedyPower (physics)Status quoSociologySubject (documents)Gender studiesHuman sexualityIdentity (music)ConversationQueerAestheticsLiteratureArtLawPolitical sciencePolitics

Abstract

fetched live from OpenAlex

This Open Call issue of Girlhood Studies brings together a collection of articles from Canada, the US and Russia that address a range of themes of concern and interest to the study of contemporary girlhood. The issue opens with an article called “Little Girls on the Prairie and the Possibility of Subversive Reading” by Amy Singer as a way of signalling the importance of “differentiating between narratives that reinforce the status quo and narratives that challenge it.” As Singer points out, “a subversive story makes visible connections between social power and inequality.” Following this is Michael G. Cornelius’s “Sexuality, Interruption, and Nancy Drew.” In some of these stories, as Cornelius points out, we see a different kind of subversion of the status quo: “whenever the subject of marriage arises, Nancy interrupts the conversation or changes it altogether” so as to prevent any consideration of “marriage and the ensuing responsibilities (and identity shifts) that it—and mid-century womanhood in general—implies.”

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)0.002
metaresearch head score (Gemma)0.010
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 score0.027
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0120.016
Scholarly communication0.0100.008
Open science0.0020.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0270.004

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 head0.205
GPT teacher head0.412
Teacher spread0.206 · 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

Explore more

Same venueGirlhood StudiesSame topicHistorical and Linguistic StudiesFrench-language works237,207