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Record W4282024364 · doi:10.1080/09515070.2022.2080643

Facilitating goal-directed transition projects for young adult newcomers to Canada: a qualitative study of a brief supportive counseling intervention

2022· article· en· W4282024364 on OpenAlexafffundabout
Richard A. Young, José F. Domene, Kesha Pradhan, L. Alejandra Botia, Eugene Chi, Mindy Ming-Jung Chiang, Mathew R. Gendron, Margaret M. Noel, Shalet Rosario

Bibliographic record

VenueCounselling Psychology Quarterly · 2022
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of CalgaryUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychological interventionPsychologyIntervention (counseling)Transition (genetics)Qualitative researchIdentity (music)Action researchPsychotherapistApplied psychologyDevelopmental psychologyMedical educationPedagogyMedicineSociologyPsychiatry

Abstract

fetched live from OpenAlex

Transition to life in a new country represents complex and challenging tasks for young adults. This transition can be conceptualized as goal-directed action. To date, the literature has not described how these transitions intersect in the goal-directed life projects in which young newcomers engage. Similarly, the literature has not reported attempts to facilitate these processes through brief, goal-oriented supportive counseling interventions. In this study, 12 newcomers to Canada, aged 20–34 years, participated in an individual counseling support intervention intended to assist them to identify and engage in their transition-oriented projects. Qualitative data were collected using the action-project method over approximately a six-month period. Findings indicated that participants engaged in a range of transition projects, thematically grouped as relationship, career, and identity. The findings also revealed information about participants’ engagement with the intervention as part of their transition projects. Implications for research and practice are drawn.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
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
Bibliometrics0.0000.001
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 head0.034
GPT teacher head0.379
Teacher spread0.345 · 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 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

Citations5
Published2022
Admission routes3
Has abstractyes

Explore more

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