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Record W7097773519

Sexual Health Education: Silenced by Diplomacy and Political Correctness

2015· article· en· W7097773519 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicFoucault, Power, and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical correctnessConversationDiplomacyReproductive healthPoliticsSilenceEXPOSEExploratory research
DOInot available

Abstract

fetched live from OpenAlex

My exploratory Master’s thesis research examines how teachers of ‘sex ed. ’ in Newfoundland and Labrador perpetuate problematic assumptions as they relate to sexual health. Sexual health education remains rooted in the simplistic idea that it exists primarily to regulate teenage pregnancy and sexually transmitted infections (STIs). Educators ’ diplomatic thinking and pedagogies expose how fear and discomfort have served to silence topics such as pleasure, desire, homophobia and gender identity. This article challenges educators (and those who support them) to cross over the border of political correctness and diplomatic relations by first examining their own notions of gender, sexuality, curricular/pedagogical objectivity and privilege. Transforming the conversation of sexual health in the classroom offers possibilities for challenging dominant culture and assumptions. For example, educators can re-define safe sex as the practice of fostering a culture of safety for all sexual and gender identities. Considerations related to the complexity of

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)0.014
metaresearch head score (Gemma)0.017
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 score0.026
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0200.054
Scholarly communication0.0110.005
Open science0.0010.010
Research integrity0.0030.010
Insufficient payload (model declined to judge)0.0040.000

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 head0.422
Teacher spread0.356 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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