MétaCan
Menu
Back to cohort
Record W1969199845 · doi:10.3992/jgb.6.3.76

THE EFFECTIVENESS OF BOMA BESt AND LEED CANADA EB:O&M IN GREENING COMMERCIAL BUILDINGS

2011· article· en· W1969199845 on OpenAlex
Richard Roos, Mark Gorgolewski

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Green Building · 2011
Typearticle
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTransparency (behavior)BusinessStakeholderCertificationGreen buildingEnvironmental resource managementArchitectural engineeringEngineeringManagementComputer scienceEconomics

Abstract

fetched live from OpenAlex

LEED Canada for Existing Buildings: Operations and Maintenance (LEED Canada EB:O&M) and Building Owners and Managers Association's Building Environmental Standards (BOMA BESt) are complex green rating systems that offer owners, managers, consultants, and tenants distinct value propositions for existing buildings. Upon close examination, significant variations between the systems are evident in certification process, cost, rigor, engagement, marketing, accessibility, transparency, management, and program philosophy. Despite the many differences between the systems, they are often seen to be complementary programs and are sometimes used in tandem for the same building. This paper reports on a survey of the industry perceptions of the value and strengths of the LEED Canada EB:O&M and BOMA BESt rating systems with respect to the above criteria. As a result of the fundamentally different nature of the programs, preferences for LEED Canada EB:O&M and BOMA BESt are determined by stakeholder values and the programs are used for a variety of reasons.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.232
Teacher spread0.214 · 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