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Record W4391706158 · doi:10.51644/9781554581955

The Gendered Screen

2010· book· en· W4391706158 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyComputer science

Abstract

fetched live from OpenAlex

This book is the first major study of Canadian women filmmakers since the groundbreaking Gendering the Nation (1999). The Gendered Screen updates the subject with discussions of important filmmakers such as Deepa Mehta, Anne Wheeler, Mina Shum, Lynne Stopkewich, Léa Pool, and Patricia Rozema, whose careers have produced major bodies of work. It also introduces critical studies of newer filmmakers such as Andrea Dorfman and Sylvia Hamilton and new media video artists. Feminist scholars are re-examining the ways in which authorship, nationality, and gender interconnect. Contributors to this volume emphasize a diverse feminist study of film that is open, inclusive, and self-critical. Issues of hybridity and transnationality as well as race and sexual orientation challenge older forms of discourse on national cinema. Essays address the transnational filmmaker, the queer filmmaker, the feminist filmmaker, the documentarist, and the video artist—just some of the diverse identities of Canadian women filmmakers working in both commercial and art cinema today.

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.607
Threshold uncertainty score0.791

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.012
Scholarly communication0.0110.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0280.004

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 head0.040
GPT teacher head0.212
Teacher spread0.172 · 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

Citations9
Published2010
Admission routes1
Has abstractyes

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