MétaCan
Menu
Back to cohort
Record W3089157487 · doi:10.5195/jll.2020.129

Toward More Inclusive Japanese Language Education: Incorporating an Awareness of Gender and Sexual Diversity among Students

2020· article· en· W3089157487 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJapanese Language and Literature · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGender Studies in Language
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHeteronormativityDiversity (politics)Sexual orientationHuman sexualityGender diversityPsychologyExpression (computer science)IdeologyIdentity (music)Sexuality educationPedagogyGender studiesService (business)Japanese languageSocial psychologySociologyLinguisticsPolitical scienceSex educationManagementComputer science

Abstract

fetched live from OpenAlex

Many educational institutions in North America have declared a commitment to enhancing the diversity of their students, and to providing a learning environment free of discrimination. This diversity unequivocally includes sexual orientation as well as gender identity and expression, and we teachers are expected to play a role in fulfilling this commitment. Nevertheless, there are few opportunities for us to learn about the diversity of gender and sexuality in pre-service training or in-service professional development for Japanese-language education. This paper addresses issues that may create challenges for LGBTQ learners of Japanese, paying special attention to heteronormativity in Japanese language teaching materials and linguistic norms and ideology regarding gendered expression in Japanese, and suggests ways teachers might deal with these issues in order to create an inclusive learning environment for all students regardless of their gender and sexuality.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.063
Threshold uncertainty score0.868

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.336
Teacher spread0.311 · 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