MétaCan
Menu
Back to cohort
Record W2997175672 · doi:10.1177/1609406919898348

Using Grounded Theory to Understand a Cutting-Edge Issue: Effects of Integrative Tactics on Chinese Gay Men’s and Lesbians’ Social Well-Being

2019· article· en· W2997175672 on OpenAlexaff
Xuan Ning, Chau‐kiu Cheung, Sijia Guo

Bibliographic record

VenueInternational Journal of Qualitative Methods · 2019
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsGrounded theoryNegotiationLesbianPsychologySocial psychologyPower (physics)Gender studiesSociologyQualitative researchSocial science

Abstract

fetched live from OpenAlex

This study aims to demonstrate how grounded theory can be used to explore and analyze negotiation processes between self-identified gay men and lesbians and their parents. For a majority of Chinese gay men and lesbians, marriage proves to be the primary concern that drives negotiations with parents. Extant research documents the precarious consequences of gay men’s and lesbians’ social well-being yielded by these negotiations, which primarily employ distributive negotiating tactics. As integrative tactics prove to be conducive to favorable outcomes, their application in same-sex children’s negotiation with parents informs the present study. Semistructured interviews were conducted with 25 Chinese participants (15 gay men and 10 lesbian women). Grounded theory analysis of interviewee data identified a grounded theory of soft-power-based negotiation, which illustrated detailed negotiation processes between gay men and lesbians and their parents and critical conditions mediating this process. The grounded theory elaborated concrete soft-power bases and integrative tactics used by participants and their parents. Conditions for integrative tactics to sustain gay men and lesbians’ social well-being emerged. Results implied viable solutions for resolving conflicts between social minorities and social majorities in general.

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)0.006
metaresearch head score (Gemma)0.002
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 score0.414
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.301
GPT teacher head0.636
Teacher spread0.335 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Qualitative MethodsSame topicLGBTQ Health, Identity, and PolicyFrench-language works237,207