MétaCan
Menu
Back to cohort
Record W4367845594 · doi:10.1080/17564905.2023.2204797

Crossing thresholds: women directors making a home in Japanese cinema

2023· article· en· W4367845594 on OpenAlexaff
Colleen A. Laird

Bibliographic record

VenueJournal of Japanese and Korean Cinema · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMovie theaterNarrativeIdeologyCraftFeelingDepictionSociologyAestheticsGender studiesMedia studiesVisual artsLiteratureArtPsychologyPoliticsPolitical scienceSocial psychologyLaw

Abstract

fetched live from OpenAlex

Within many of the works of contemporary Japanese women commercial filmmakers, we see a new vision of home, home spaces, and the act of home making. These depictions diverge from cinematic spaces of and metaphors about the home found in the works of previous directors. While ‘home’ on screen has been shaped throughout Japanese cinema history by dominant gendered narratives that imagine family and the physical house itself as an ideological extension of the state, contemporary Japanese women directors reimagine home as not a physical structure or ‘traditional’ family, but as a matter of repetitive habit expressed through visual and narrative motifs. This creates a sense of ‘at-homeness’ in their films that resonates with how a contemporaneous generation of young people in Japan have also found new definitions of and feelings about home. This article traces both the depiction of home in Japanese cinema and the dominant definitions of ‘home’ in Japanese public discourse from the early 1920s to the early 2000s, before offering a close analysis of two case studies – directors Tanada Yuki and Ogigami Naoko – to show how members of this new generation find an expression of home through the formal craft of cinema itself.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.010
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.024
GPT teacher head0.301
Teacher spread0.277 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Japanese and Korean CinemaSame topicJapanese History and CultureFrench-language works237,207