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Record W4246608949 · doi:10.24124/2008/bpgub1355

Program development for the BMO UNBC Downtown Business Centre of Excellence

2008· dissertation· en· W4246608949 on OpenAlexaff
Robert Quibell

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDowntownExcellenceRelevance (law)Work (physics)ManagementMedical educationPublic relationsSociologyEngineeringPolitical scienceGeographyArchaeologyMedicine

Abstract

fetched live from OpenAlex

This paper discusses programming and possible uses for the University of Northern British Columbia's downtown campus. Thirty individuals working throughout the downtown core of Prince George, BC, were interviewed to gather information about the programs that would be of most interest to themselves and their organizations. A literature review showed that the location of a program was important but was secondary to the quality and relevance of the course. The interview results supported the hypothesis people working in the downtown core are most interested in career or work related programming. There was overwhelming support for courses at the downtown campus and participants had strong views on the time of day and week when courses and informational sessions should be held. The interviews further showed that the community was interested in utilizing the location for meetings, events and courses they planned to hold. This paper clarifies the interests of the downtown community in relation to the university's presence in the downtown core.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.129
Threshold uncertainty score0.257

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0460.006

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 head0.023
GPT teacher head0.335
Teacher spread0.313 · 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
Published2008
Admission routes1
Has abstractyes

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