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Record W7135777394

Gender, non-binary gender identity - a linguistic and sociological approach of francophone speakers

2024· dissertation· cs· W7135777394 on OpenAlexaboutno aff
Lucie Martínková

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2024
Typedissertation
Languagecs
FieldSocial Sciences
TopicGender Studies in Language
Canadian institutionsnot available
Fundersnot available
KeywordsFrenchSociocultural evolutionIdentity (music)Key (lock)Core (optical fiber)NeutralityNormativeTheoretical linguistics
DOInot available

Abstract

fetched live from OpenAlex

The thesis focuses on the issue of gender, in particular its non-binary conception, and investigates how the French language and Francophone society approach this area. The core chapters examine the multifaceted aspects of gender, incorporating sociocultural perspectives and linguistic approaches. In the first chapter, the thesis briefly scrutinizes the philosophy of language and linguistic culture in general. The second chapter explains pivotal concepts related to gender and introduces diverse cultural conceptions of gender. The third chapter describes key linguistic phenomena that pose challenges to achieving neutrality within the French language. The core of the linguistic part of the thesis is the fourth chapter, with the so-called écriture inclusive, inclusive writing, which at many points offers a solution to linguistic equality. The official forms of this approach in France and Canada are presented and its guiding principles are described. In addition, the thesis incorporates a proposal for a gender-neutral solution for the French language put forth by Florence Ashley, a legal and health activist specializing in transgender issues in Canada. The last chapter, chapter five, outlines reactions to the inclusive and gender-neutral form of the French language. The controversial debates that arose...

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.564
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.020
GPT teacher head0.300
Teacher spread0.280 · 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 teacher head, not a consensus.

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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueDigital Repository (National Repository of Grey Literature)Same topicGender Studies in LanguageFrench-language works237,207