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Record W2047700001 · doi:10.1139/l00-076

Environmental engineering registration in Canada The expectations of the professional engineer working in this field

2001· article· en· W2047700001 on OpenAlexvenueaboutno aff
Troy D Vassos, Daniel Smith

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2001
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsnot available
FundersAmerican Society for Engineering Education
KeywordsAccreditationProfessional associationSyllabusGraduation (instrument)Engineering educationHealth systems engineeringEngineering ethicsEngineeringWork (physics)Engineering managementPublic relationsMedical educationPolitical scienceMechanical engineeringMedicineLaw

Abstract

fetched live from OpenAlex

The practice of environmental engineering in Canada is regulated by the 12 individual provincial and territorial associations/ordre, who are also members of the national Canadian Council of Professional Engineers (CCPE). Although CCPE has no regulatory authority over the engineering profession in its own right, it is responsible for establishing national guidelines for registration and for accrediting university engineering programs. The criteria for professional registration in Canada are presented in detail and include both educational and experience components. The educational requirements can be met through graduation from a Canadian Engineering Accreditation Board approved environmental engineering degree program or by passing mandatory examinations assigned by the individual associations/ordre from CCPE's national Environmental Engineering Syllabus. Generally a minimum of four years of satisfactory engineering experience, which has been supervised by a professional engineer who takes direct responsibility for the work carried out, is required. Public interest and public protection go hand in hand with the concept of professional registration for environmental engineers. Problems encountered by the associations/ordre in reviewing environmental engineering registration applications are discussed, and the approach taken by the Association of Professional Engineers and Geoscientists of British Columbia (by example) in addressing these problems is reviewed. Environmental engineering requires a wide range of knowledge in both engineering and science, as well as effective communication skills. Life-long learning is essential to the profession, particularly considering the rapid introduction of new technologies and the advances occurring in scientific and engineering knowledge in the environmental sector.Key words: environmental engineering, registration, professional engineer, education, undergraduate, graduate, certification, professional experience, academic criteria.

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)0.005
metaresearch head score (Gemma)0.013
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: none
Teacher disagreement score0.952
Threshold uncertainty score0.348

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0090.002
Scholarly communication0.0060.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0290.007

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 head0.164
Teacher spread0.159 · 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

Citations4
Published2001
Admission routes2
Has abstractyes

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