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Record W2952281901

A sustainable outlook in an era of uncertainty: A case study of Manitoba Hydro

2019· dissertation· en· W2952281901 on OpenAlexfundaboutno aff
Ryan Werbicki

Bibliographic record

VenueMspace (University of Manitoba) · 2019
Typedissertation
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
FundersManitoba Hydro
KeywordsEnvironmental scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

The historical record of Manitoba Hydro, Manitoba’s largest crown corporation, is a rich case study that contextualizes and affirms the numerous public policy challenges confronting Manitoba’s polity in the twenty-first century. Manitoba Hydro’s contemporary history is mired-in ongoing political interference, severe financial mismanagement, poor indigenous relations and technical failures. Examining the historical record offers an opportunity to probe Manitoba Hydro’s history which is inextricably linked to Manitoba’s social, economic and environmental landscape. This thesis provides a historic overview of hydroelectric production in the province of Manitoba, highlighting specific themes that are essential to understanding Manitoba Hydro’s modern incarnation. This includes insights into the utility’s electrical advantage, environmental record, and its relationship with indigenous Manitobans. Contemporary fiscal decisions such as the expansion of productive and transmission capacity, irrespective of demand and market fluctuations, have undoubtedly placed the crown corporation in a precarious position. As a result, Manitoba Hydro and the province of Manitoba need develop effective public policy for the future sustainability of the crown corporation. This thesis recommends various actions that will ensure the utility remains strong, stable and secure now, and in the future. This includes increasing domestic demand and efficiencies, acquiring monetary advances from the province of Manitoba to temporarily balance fiscal challenges, reform the social license model with amendments for indigenous Manitobans and commission an inquiry as a result of recent mismanagement.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.670
Threshold uncertainty score0.656

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0200.006
Scholarly communication0.0040.002
Open science0.0020.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.251
Teacher spread0.236 · 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 designQualitative
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
Published2019
Admission routes2
Has abstractyes

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