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Record W4375858347 · doi:10.46743/2160-3715/2023.5822

Using Timeline Methodology to Facilitate Qualitative Interviews to Explore Sexuality Experiences of Female Pakistani-Descent Immigrant Adolescents

2023· article· en· W4375858347 on OpenAlex
Neelam Saleem Punjani, Elisavet Papathanassoglou, Kathleen Hegadoren, Zubia Mumtaz, Saima Hirani, Margot I. Jackson

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Qualitative Report · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsMacEwan UniversityUniversity of British ColumbiaUniversity of Alberta
FundersKillam TrustsWomen and Children's Health Research InstituteChildren's Health Research InstituteAga Khan Foundation
KeywordsTimelineQualitative researchHuman sexualityPsychologyParticipatory action researchSociologyGender studiesSocial science

Abstract

fetched live from OpenAlex

In qualitative research, there is a growing interest in understanding the use of timelines in combination with other qualitative methods. In this paper, we will address how the creation of timelines facilitated and informed the process of semi-structured interviews. We used an interpretive descriptive qualitative study to understand the perceptions and experiences of developing sexuality among female adolescents of Pakistani descent, and timelines were used as a part of the semi-structured interview process. Timelines were created in a participatory way in which girls were asked to recount significant events related to their sexuality. We found that the methodological combinations within qualitative research such as semi-structured interviews and timelines have the potential to advance knowledge regarding the experience of immigrant female adolescents’ sexuality. Using the timeline strategy to collect data helped in building rapport with the participants, allowed the participants to become active partners and navigate the process, and helped them to think about future resolutions through reflection.

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)0.095
metaresearch head score (Gemma)0.036
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0950.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.964
GPT teacher head0.781
Teacher spread0.183 · 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