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Narratives of Developing Counsellors’ Preferred Theories of Counselling Storied Through Text, Metaphor, and Photographic Images

2015· article· en· W48506944 on OpenAlexafffund
Gina Wong‐Wylie

Bibliographic record

VenueThe Qualitative Report · 2015
Typearticle
Languageen
FieldPsychology
TopicCounseling, Therapy, and Family Dynamics
Canadian institutionsAthabasca University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNarrativeMetaphorPortraitPsychologyPersonal narrativeLived experienceNarrative inquiryPedagogySociologyPsychoanalysisVisual artsArtLiteratureLinguistics

Abstract

fetched live from OpenAlex

Reflective practice is integral for developing counsellors to maintain self- awareness and to recognize influences upon one’s personal theory of counselling. In this exploratory narrative inquiry research, four doctoral level counselling psychologists participated to uncover “What are the personal stories of developing counsellors and in what ways are lived stories reflective of counsellors' personal theories of counselling?" The researcher employed a butterfly metaphor, and photographs to illustrate lived stories. Dawn, East, Crystal, Sean, and the researcher’s own lived stories elucidated personal counselling theories and approaches. The view that all theories are constructed portraits of theorists' lives is substantiated. A strong link between lived stories and preferred theories in counselling is demonstrated. Directions for future research are provided.

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)0.009
metaresearch head score (Gemma)0.017
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 score0.009
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.007
Scholarly communication0.0050.005
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.132
GPT teacher head0.449
Teacher spread0.316 · 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

Citations18
Published2015
Admission routes2
Has abstractyes

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