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Record W2119781706 · doi:10.1177/0898010113488243

The Lived Experience of Anxiety Among Late Adolescents During High School

2013· article· en· W2119781706 on OpenAlexaff
Diana R. Leone, Susan L. Ray, Marilyn Evans

Bibliographic record

VenueJournal of Holistic Nursing · 2013
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsWestern UniversityMcMaster University
Fundersnot available
KeywordsPsychologyAnxietyLived experienceEveryday lifeFeelingEmbodied cognitionThematic analysisDevelopmental psychologyInterpretative phenomenological analysisQualitative researchSocial psychologyPsychotherapistSociology

Abstract

fetched live from OpenAlex

PURPOSE: To gain an understanding of everyday anxiety among late adolescents during high school. DESIGN: An interpretive phenomenological approach was utilized. A purposive sample of eight males and females in late adolescence with everyday anxiety were interviewed. METHOD: Individual interviews were conducted. Data analysis was undertaken throughout the research study by utilizing a thematic analysis of text in which themes emerged to understand the lived experience of everyday anxiety among late adolescents during high school. FINDINGS: The study revealed themes reflective of the lived body in time and space and in relation with others. The three themes were (a) the embodied experience of anxiety with the subtheme of the body and mind responds; (b) feeling uncomfortable in the lived space of school with the subthemes of the lived relations of bullying, the internal/external space of isolation, and the constant pressure to perform well; and (c) life at home with the subthemes of the lived space of home, the lived relations of pressure from parents, and life will get better. CONCLUSIONS: Nurses need to provide holistic care for late adolescents experiencing everyday anxiety by focusing on healing the whole person through the unity of body, mind, emotion, spirit, and environment.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.147
Threshold uncertainty score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.024
GPT teacher head0.301
Teacher spread0.277 · 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 designObservational
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

Citations13
Published2013
Admission routes1
Has abstractyes

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