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Record W4252978994 · doi:10.24124/2009/bpgub1399

UNBC clinic of care: clinic manual and marketing plan

2009· dissertation· en· W4252978994 on OpenAlexaff
Jeffrey Ryan James

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsUniversity of Northern British ColumbiaUniversity of Lethbridge
Fundersnot available
KeywordsPlan (archaeology)Work (physics)Medical educationMarketing planFoundation (evidence)MedicinePublic relationsNursingBusinessMarketingEngineeringPolitical science

Abstract

fetched live from OpenAlex

The purpose of this project was to develop two documents that will become the framework for the proposed establishment of a clinic of counselling that would meet the training needs of graduate students in the University of Northern British Columbia's (UNBC) Masters of Education, Counselling Specialization program, and the needs of community members of Prince George. The two documents include a marketing plan for the implementation of the proposed clinic and a manual for the operation of the clinic. The clinic manual is a document that forms the foundation on which to build a safe, ethical, professional, and organized clinic through detailed clinic policies and procedures. This manual is comprehensive enough to give people all the required information needed to run the clinic. The marketing plan provides those who work on implementation a framework for how to deliver competent services, address financial needs, raise funds, and do risk assessment.

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)0.011
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.080
Threshold uncertainty score0.268

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.017
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.001
Scholarly communication0.0050.002
Open science0.0020.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0800.033

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 head0.032
GPT teacher head0.399
Teacher spread0.367 · 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
GenreOther

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
Published2009
Admission routes1
Has abstractyes

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