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Record W7095095180

Chief Corporate Officer

2007· article· en· W7095095180 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsElectricityGovernment (linguistics)OfficerRenewable energyPaymentIncentiveIncentive programConsumption (sociology)Energy consumption
DOInot available

Abstract

fetched live from OpenAlex

This report provides an update on the preparation of the Toronto Energy Plan, including the development of a program to achieve 90 megawatts (MW) of electricity savings across the city by 2010. Under this program, the Ontario Power Authority (OPA) will provide incentive payments to eligible City and community projects. The report also identifies three other issues: the proposed linking of Police Headquarters and City Hall to Enwave’s Deep Lake Water Cooling system; the proposed construction of a 3 rd major electricity transmission line into the downtown; and opportunities for cooperation with the federal government on energy efficiency. In the short term, the recommendations in this report will help the City achieve its target of reducing energy consumption by 15 % within its own operations, as well as reducing electricity consumption in the wider community. The recommendations will also assist in developing a longer-term plan for moving Toronto from its current unsustainable state of energy consumption to a state of energy sustainability, through energy conservation and the generation of clean and renewable energy.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.394
Threshold uncertainty score0.562

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0060.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.6060.462

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 head0.036
GPT teacher head0.297
Teacher spread0.262 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2007
Admission routes1
Has abstractyes

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