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Record W4205743061 · doi:10.47634/cjcp.v55i4.73134

Book Review of Mathers and St-Cyr's Pinasuutitsaq ᐱᓇᓲᑎᑦᓴᖅ: Reference Guide for Career Development Counsellors Working With Inuit Clients

2022· article· en· W4205743061 on OpenAlexaffvenueabout
Stephanie D. Tipple

Bibliographic record

VenueCanadian Journal of Counselling and Psychotherapy · 2022
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsychological interventionCommissionCareer developmentEmployabilityResource (disambiguation)Work (physics)Economic JusticeLibrary sciencePsychologyPolitical sciencePublic relationsMedical educationPedagogySociologyNursingMedicineEngineeringComputer science

Abstract

fetched live from OpenAlex

Combining the voices of practitioners within the field and information from the literature, Pinasuutitsaq ᐱᓇᓲᑎᑦᓴᖅ: Reference Guide for Career Development Counsellors Working With Inuit Clients is a concise, reader-friendly resource that will assist career development counsellors in their work with Inuit clients. Given the complex employability challenges experienced by many Inuit communities, culturally appropriate interventions and approaches are essential, as highlighted by the Truth and Reconciliation Commission of Canada. Funded by the Regroupement québécois des organismes pour le développement de l’employabilité, this reference guide focuses on the approaches and interventions utilized at the Ivirtivik Centre, which offers services to Inuit clients in Montreal and in Nunavik, Quebec. The guide is divided into four chapters, each offering topic-specific information, important highlights, external resources, Nunavik-specific resources, and sample interventions and activities to assist career development counsellors in working with Inuit clients effectively from a social justice framework.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.046
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0390.019

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 head0.069
GPT teacher head0.373
Teacher spread0.303 · 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 designNot applicable
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

Citations0
Published2022
Admission routes3
Has abstractyes

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Same venueCanadian Journal of Counselling and PsychotherapySame topicGlobal Health Workforce IssuesFrench-language works237,207