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Record W2888308120 · doi:10.1177/2167696818792989

“Drama” in Interpersonal Conflict and Interactions Among Emerging Adults: A Qualitative Focus Group Study

2018· article· en· W2888308120 on OpenAlexaff
Alexandra Smith, Patti A. Timmons Fritz, Samantha Daskaluk

Bibliographic record

VenueEmerging Adulthood · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of WindsorLaurentian University
Fundersnot available
KeywordsDramaInterpersonal communicationPsychologyHarmSocial psychologyAggressionFocus groupThematic analysisContext (archaeology)Developmental psychologyInterpersonal relationshipQualitative researchSociologySocial scienceLiterature

Abstract

fetched live from OpenAlex

Drama is a term used in popular culture to refer to interpersonal conflict that arises when individuals overreact to events and are overly emotional. The current study investigated emerging adults’ perspectives of drama, the context in which it occurs, and how drama relates to similar social interactions such as conflict, bullying, and relational aggression. University students ( N = 53; 18–25 years old) participated in eight same-sex focus groups. Using thematic analysis, seven main themes were found, suggesting that “drama” (a) refers to a wide range of situations, (b) is often associated with negative social interactions, and (c) harm and consequences, (d) is generally perceived as unnecessary, (e) exaggerated, and (f) involving females, and (g) frequently offers a learning experience. Findings suggest that future research should continue to explore drama as its own construct and that drama should be addressed more formally given how youth may be impacted by such incidents.

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)0.010
metaresearch head score (Gemma)0.011
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 score0.010
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0070.005
Scholarly communication0.0020.003
Open science0.0020.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.379
Teacher spread0.350 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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