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Record W7099460893

Request for Expressions of Interest (RFEI) Leslie Frost Natural Resources Centre

2005· article· en· W7099460893 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicLaw and Political Science
Canadian institutionsnot available
Fundersnot available
KeywordsChristian ministryTraining (meteorology)Natural (archaeology)Frost (temperature)Natural resourceResource (disambiguation)
DOInot available

Abstract

fetched live from OpenAlex

The Frost Centre Working Committee is seeking input from organizations interested in contributing to the sustainable future of a learning centre located in Haliburton County and within 2 hours drive of Toronto. Through the Expressions of Interest (EI), the Committee intends to examine a range of viable business options which are consistent with the public's values. Background on the Centre The Frost Centre is a 200-bed residential facility that was operated by the Ontario Ministry of Natural Resources as a staff training and natural resource education centre for over 50 years. The Centre closed in July 2004. The facility, located on Highway 35 south of Dorset, Ontario, sits on about 40 acres of patented land adjacent to Lake St. Nora. It includes dormitories, classrooms, a well-equipped kitchen and cafeteria, staff cottages, sewage treatment and water treatment plants, a workshop and other buildings. It abuts over 50,000 acres of Crown lands with established canoe routes, hiking trails and ski trails.

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)0.006
metaresearch head score (Gemma)0.038
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 score0.985
Threshold uncertainty score0.597

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.038
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.5820.359

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 head0.065
GPT teacher head0.354
Teacher spread0.290 · 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
Published2005
Admission routes1
Has abstractyes

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