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Environmental Management Systems and ISO 14001 Certification for Construction Firms

2004· article· en· W2133047147 on OpenAlexaff
Gwen Christini, Michael Fetsko, Chris Hendrickson

Bibliographic record

VenueJournal of Construction Engineering and Management · 2004
Typearticle
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsBombardier (Canada)
Fundersnot available
KeywordsCertificationEnvironmental management systemBusinessWork (physics)Management systemEnvironmental consultingEnvironmental resource managementRisk analysis (engineering)Engineering managementEnvironmental economicsOperations managementEngineeringEnvironmental scienceManagementEconomics

Abstract

fetched live from OpenAlex

Environmental management systems (EMSs) are intended to formalize procedures for managing and reducing environmental impacts. Construction firms typically do not have comprehensive and certified environmental management systems. This paper discusses the elements of environmental management systems, the relationship to the ISO 14001 standard, and the importance for construction firms to implement an EMS. A case study of a certified environmental management system for a construction firm is presented. Benefits and costs of such systems are identified. The paper concludes that construction firms should begin to work towards implementing more complete environmental management systems, although fully certified systems are not essential.

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)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0040.004
Open science0.0000.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.005
GPT teacher head0.187
Teacher spread0.182 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations108
Published2004
Admission routes1
Has abstractyes

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