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Record W3155145146 · doi:10.47634/cjcp.v55i1.70171

A Scoping Review of Life Design Intervention Research: Implications for Counselling and Psychotherapy Practice

2021· review· en· W3155145146 on OpenAlexaffvenueabout
Bradley Lewis, José F. Domene

Bibliographic record

VenueCanadian Journal of Counselling and Psychotherapy · 2021
Typereview
Languageen
FieldSocial Sciences
TopicCareer Development and Diversity
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsychological interventionIntervention (counseling)PsychologyGenogramPsychotherapistResearch designAdaptabilityEmpirical researchApplied psychologyClinical psychologyMedical educationMedicineSocial psychologySociologySocial science

Abstract

fetched live from OpenAlex

The recently developed paradigm in career counselling known as life design has caused a proliferation of new interventions. A scoping study was performed to provide an overview of empirical support for the effectiveness of these interventions. Twelve articles that evaluate the efficacy of eight interventions were found. Interventions included individual and group forms of the Career Construction Interview and My Career Story. Others were group-based life design interventions, the Career Construction Genogram, an online-based life design intervention, and a classroom intervention designed for elementary children. Career adaptability was the most commonly evaluated outcome and participants were most commonly from Italy, with no study using North American participants. Experimental or quasi-experimental research designs were most frequently used, while several articles reported on case studies. The authors recommend that future research balance case studies and experimental designs and that further research should validate findings with Canadian populations. This article notes the synergistic potential of engaging with social constructionist approaches in the broader field of counselling and psychotherapy for developing new interventions.

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)0.010
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.939
Threshold uncertainty score0.809

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.383
GPT teacher head0.513
Teacher spread0.130 · 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 designOther design
Domainnot available
GenreReview

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

Citations4
Published2021
Admission routes3
Has abstractyes

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