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Record W7095314289

Shop Brock Downtown Revitalization Committee (Shop Brock) Terms of Reference

2015· article· en· W7095314289 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsDowntownWork (physics)General partnershipChristian ministryVariety (cybernetics)Plan (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

1.1 Downtown revitalization is a process of improving the economic, management, physical and social well-being of a community's traditional town centre by: strengthening local businesses, and encouraging investment by building and property owners; creating enjoyable public streets and spaces animated by a variety of creative and civic activities; and providing work and living opportunities for residents (Ontario Ministry of Agriculture, Food, and Rural Affairs). 2. PURPOSE 2.1 The Shop Brock Downtown Revitalization project is the expansion of the Beaverton 180 ° Downtown Revitalization project into a Township wide downtown revitalization initiative to include the downtowns of Beaverton, Cannington, and Sunderland. 2.2 The Shop Brock Downtown Revitalization Management Committee will oversee and implement the work plan of the Shop Brock Downtown Revitalization project, work in partnership with the project’s Business Development Coordinator, and liaise with businesses and community organizations that have a vested interest in downtown revitalization.

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)0.003
metaresearch head score (Gemma)0.010
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 score0.566
Threshold uncertainty score0.619

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0040.001
Scholarly communication0.0060.003
Open science0.0030.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.5660.310

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 head0.079
GPT teacher head0.323
Teacher spread0.244 · 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
Published2015
Admission routes1
Has abstractyes

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