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Record W6990965801

An examination of the customer service and distribution business unit's environmental compliance management process at Manitoba Hydro

2012· dissertation· en· W6990965801 on OpenAlexfundaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2012
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicRegulation and Compliance Studies
Canadian institutionsnot available
FundersCanadian Electricity AssociationMinistry of Education, IndiaManitoba HydroCanadian Association of Petroleum Producers
KeywordsService (business)Process (computing)Environmental management systemCompliance (psychology)Distribution (mathematics)Business processMandate
DOInot available

Abstract

fetched live from OpenAlex

Abstract Environmental compliance is defined as conformance with the requirements of environmental laws, regulations, industry and organizational codes of practice and standards. As a step towards a more in-depth study of environmental compliance, the present research was undertaken to examine the process of environmental compliance management in one of the Business Units at Manitoba Hydro. Research methods for this research included semi-structured interviews, observation, and document review. The research broadly concludes that the environmental compliance management process in the Customer Service and Distribution Business Unit follows the compliance process PDCA system and has the structural, functional and continuous improvement elements of the compliance framework presented in this research. However, given Manitoba Hydro’s commitment to meet or surpass the regulatory requirements and the Customer Service and Distribution Business Unit’s mandate to comply with all government and regulatory mandated requirements, the compliance management process in the Customer Service and Distribution Business Unit may benefit from a systematic and uniform monitoring process for compliance and performance as well as a uniform document to demonstrate compliance.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.019
GPT teacher head0.206
Teacher spread0.187 · 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 teacher head, not a consensus.

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

Citations0
Published2012
Admission routes2
Has abstractyes

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