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Record W1996640011 · doi:10.1111/jcap.12003

Adolescent Depression: Meeting Therapeutic Challenges Through an Integrated Narrative Approach

2012· article· en· W1996640011 on OpenAlexaff
Lorna Bennett

Bibliographic record

VenueJournal of Child and Adolescent Psychiatric Nursing · 2012
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsAllianceNarrativeDepression (economics)PsychologyTherapeutic relationshipPsychotherapistMedicineClinical psychology

Abstract

fetched live from OpenAlex

TOPIC: The adolescent period is a time of transition and change often associated with losses and adjustment issues at the family, school, and individual levels. When this normal developmental transition is interrupted and compounded by depressive illness, treatment needs and nursing therapeutic challenges can be daunting. PURPOSE: This clinically based article explores the clinical process and progress in work with a 14-year-old adolescent boy who was diagnosed with a major depressive episode. Core clinical features, distinguishing characteristics of depression in youth, as well as specific therapeutic issues and challenges are discussed. The value of an integrated clinical approach with special emphasis on narrative methods both for achievement of clinical goals and for establishing a therapeutic alliance is highlighted. SOURCES USED: The study used published literature and the author's professional and clinical experiences. CONCLUSION: Nursing therapeutics with adolescents experiencing depression must embrace a holistic integrated approach to adolescent recovery with an emphasis on what works with each unique clinical situation. Special attention to the nurse-adolescent therapeutic alliance not only facilitates achievement of therapeutic goals related to the depressive illness, but in addition, supports the shaping of a new self-narrative, wholeness, and healthy adolescent development and well-being.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.731
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.003
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 head0.085
GPT teacher head0.406
Teacher spread0.322 · 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.

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

Citations12
Published2012
Admission routes1
Has abstractyes

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