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Record W7047541283

Harris Centre Great Northern Peninsula
\nRegional Workshop

2014· other· en· W7047541283 on OpenAlexaboutno aff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2014
Typeother
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsOutreachHavenCommunity developmentResource (disambiguation)Community engagementRural areaPublic policyWeb siteTraining (meteorology)
DOInot available

Abstract

fetched live from OpenAlex

The Harris Centre’s twenty-fifth Regional Workshop was held on May 22, 2014 in St. Anthony, Newfoundland and Labrador. \nPlanning partners included: \n Department of Innovation, Business and Rural Development \n Office of Public Engagement - Rural Secretariat \n St. Barbe Development Association \n Town of Anchor Point \n Town of St. Anthony \nThis workshop had two main goals: 1) promote Memorial University as a resource for regional policy and development throughout the province, and 2) stimulate discussion to generate future opportunities or research questions from the region. To facilitate this, participants aimed to identify opportunities for future collaboration in the areas of research, teaching and outreach within the region, between Memorial University and community stakeholders. \nThe ‘Regional Workshop’ was held on Thursday, May 22, 2014, from 8:30am to 2:30pm at the Haven Inn in St. Anthony (see Appendix A for the Agenda). Forty people attended the workshop, and attendees included fifteen faculty, graduate students and staff from Memorial University, and twenty-five others from the Great Northern Peninsula, including businesses; municipal, provincial and federal government; community-based organizations; educational institutions; etc.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.884
Threshold uncertainty score0.388

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1160.017

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 head0.024
GPT teacher head0.244
Teacher spread0.220 · 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.

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
Published2014
Admission routes1
Has abstractyes

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