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Yes means yes and no means no? A critical sociolinguistic analysis of cultural assumptions and transnationalism in Polish online sexual education discourses on sexual consent

2024· article· en· W4405330689 on OpenAlexaboutno aff
Olga O’Toole

Bibliographic record

VenueZoon Politikon · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistic research and analysis
Canadian institutionsnot available
Fundersnot available
KeywordsTransnationalismSociologyGender studiesPsychologyPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

The subject of sexual consent has received increasing media and academic attention in recent years and the question of its sociolinguistic significance has been investigated in the context of the English language in Canadian, American, and British settings (sources). There seems to be a lack of cross-cultural analyses; however, little research has investigated the complexities of consent as far as attitudes and discourses. This paper presents an analysis of sexual education discourse taken from Polish grassroots sexual education initiatives and looks at the phenomenon of changes in discourse on consent, as well as signs of linguistic imperialism in sexual consent education practices. The project takes a qualitative approach to integrating critical discourse analysis (CDA) and feminist post-structural discourse analysis (FPDA), in which five sources of sexual consent materials found online are analyzed for the linguistic remnants of cultural assumptions about sexuality. This is done to investigate the implied understandings of roles in giving and asking for sexual consent, which at the same time work towards a more progressive discourse on 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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.787
Threshold uncertainty score0.894

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.066
GPT teacher head0.385
Teacher spread0.320 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

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