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Record W4392089238 · doi:10.51644/9780889207141-002

Preface

2006· book-chapter· en· W4392089238 on OpenAlexaboutno aff
Jean L. Manore

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

To date, Canadian and American historiography on hydroelectric development has focused on urban/industrial conditions or the effects of such development on First Nations.In many of these studies, the metaphor used to conceptualize the process of development connotes images of conquest and control.Examining hydroelectric development, as it occurred in northeastern Ontario, sheds a new and different light on the history of technology and development in Canada.The northeastern Ontario hydroelectric system largely developed over a period of fifty years through a process of interaction between technology and the environment, Native and non-Native relations, metropolitan business and political interests and northern natural resources.Once Aboriginal rights and environmental obstacles were removed through treaty negotiations and technical innovations, early hydroelectric development took place under private auspices by individual entrepreneurs such as Frank Cochrane or by big concerns such as Nesbitt Thomson, operating out of Montreal.Their activities, for the most part, established a series of independent generating stations serving specific customers in northeastern Ontario, with some interconnection with Quebec.After 1944, with the entry of the public power system, now known as Ontario Hydro, into northeastern Ontario, and the elimination of Nesbitt Thomson and other private developers, the amalgamation of the northeastern Ontario system into the southern Ontario system began in earnest.Amalgamation resulted from the interweaving of various factors not the least of which was continued drought in the northeast rendering the system incapable of supplying the region's power needs.vii

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.652
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0080.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.3480.136

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 head0.013
GPT teacher head0.210
Teacher spread0.197 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2006
Admission routes1
Has abstractyes

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