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Record W4285588042 · doi:10.1186/s12889-022-13686-9

“I feel like it is asking if he is a stalker … but I also feel like it is asking if he cares”: exploring young South African women and men’s perceptions of the Sexual Relationship Power Scale

2022· article· en· W4285588042 on OpenAlexafffund
Kalysha Closson, Campion Zharima, Michelle Kuchena, Janan Dietrich, Anne Gadermann, Gina Ogilvie, Mags Beksinska, Angela Kaida

Bibliographic record

VenueBMC Public Health · 2022
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsSimon Fraser UniversityUniversity of British Columbia
FundersSimon Fraser University
KeywordsCognitive interviewCognitionPerceptionThink aloud protocolPsychologyMedicineDevelopmental psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Gender inequity and the subsequent health impacts disproportionately affect communities in the Global South. However, most gender equity measures, such as Pulerwitz' (2000) Sexual Relationship Power Scale (SRPS), are developed and validated in the Global North and then applied in Global South settings without investigation of context applicability or validity. This study examines the SRPS' validity evidence, comprehensiveness, and contemporary relevance for young South African women and men. METHODS: Between 2019 and 2021, 38 cognitive interviews (CIs) were conducted among previous participants of a South African youth cohort study 'AYAZAZI' (2015-2017) to explore youth's perceptions of the SRPS. The SRPS measures women's perceptions of their partner's controlling behaviours, and men's perceptions of their own controlling behaviours. Using CIs, participants responded to a 13-item adaptation of the SRPS for use among South African youth (strongly agree-strongly disagree), and then were asked to think-aloud their reasoning for responses, their understanding and perceived relevance of each item, and made overall suggestions for scale adaptations. An item appraisal coding process was applied, whereby Cognitive Coding assessed the types of cognitive problems youth had with understanding the items, and Question Feature Coding assessed which item features caused problems for participant understandings. Finally, youth recommendations for scale adaptations were summarized. RESULTS: Overall, 21 women and 17 men aged 21-30 participated in CIs in Durban and Soweto, South Africa. Cognitive Coding revealed 1. Comprehension issues, and 2. Judgements related to items' applicability to lived experiences and identities (e.g., being unmarried). Question Feature Coding revealed items' 1. Lack of clarity or vagueness in wording and 2. Logical problems in assumptions leading to multiple interpretations (e.g., item 'my partner always need to know where I am' interpreted as both controlling and caring behaviour). Multiple, overlapping issues revealed how many items failed to "fit" within the present-day living realities of South African youth. Youth recommended several item adaptations and additions, including strength-based items, to existing measures of gender equity and relationship power. CONCLUSION: Given identified issues, several adaptations including revising items to be more inclusive, contemporary, context specific, relational, and strength-based are needed to validly measure gender equity and power dynamics within the relationships of South African youth.

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)0.007
metaresearch head score (Gemma)0.009
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 score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.166
GPT teacher head0.382
Teacher spread0.216 · 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

Citations6
Published2022
Admission routes2
Has abstractyes

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