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Record W7096690132

MESSAGE FROM THE REGIONAL GROWTH MONITORING ADVISORY COMMITTEE

2006· article· en· W7096690132 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Comparative Analysis Research
Canadian institutionsnot available
Fundersnot available
KeywordsMandateScope (computer science)Advisory committeeWork (physics)SustainabilityTest (biology)
DOInot available

Abstract

fetched live from OpenAlex

Our committee’s official name is a reminder of our original mandate – to monitor the regional district’s progress toward the goals of the Regional Growth Strategy adopted in 1997. However, the project has developed into a much larger task: to test the Strategy, and the Region itself, against the overarching principles of sustainability. We asked, Is the Regional District of Nanaimo, as we know it today, sustainable? Is the Growth Management Strategy contributing to the Region’s sustainability? What does "sustainability ” mean? Thus we became known as the Region’s "Sustainability Committee", and our work has lasted three years. We first arranged and hosted a one-day public workshop on sustainability in April, 2004, then digested and organized the rich results produced by the 200 participants. We identified approximately 150 indicators we thought would reveal much about the region’s sustainability. Westland Resources helped us choose the most useful indicators and collect available data. This year, EBA Engineering Consultants revised and edited the entire document. Over many meetings, the committee reviewed the material as it came in, discussed the implications and limitations, proposed formats and styles of presentation, corrected and clarified the text. The result is what you hold in your hands. Due to limits on resources and effort the report has some shortcomings: some of the information is incomplete and dated, and the scope is not as comprehensive

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.638
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.133
GPT teacher head0.424
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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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
Published2006
Admission routes1
Has abstractyes

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