“Where the Otters Play,” “Horseshoe Bay,” “Footprint” and Beyond: Spatial and Temporal Considerations of Hydroelectric Energy Production in Northern Manitoba
Bibliographic record
Abstract
Manitoba Hydro is a public utility located in Manitoba and operates a vast hydroelectric network in Manitoba. Energy produced in northern Manitoba is carried south through an intricate web of transmission towers, lines and other facilities. The vast hydroelectric network throughout Manitoba cuts across many indigenous territories and the regions discussed within this study in northern Manitoba are the homelands of Ith-in-e-wuk (Cree peoples). The histories and timelines discussed as part of this study point to widespread and far-reaching implications and impacts related to energy production in northern Manitoba. A number of indigenous communities in northern Manitoba have experienced micro (individual) and macro (collective) impacts related to the production of hydro power and many Ith-in-e-wuk have experienced impacts on their lands, livelihoods and in their communities. Thus, many places, sites and histories have been greatly affected. This study aims to chart a chronology of hydroelectric energy production in northern Manitoba. It also seeks to inscribe a critical perspective concerning hydroelectric energy production in northern Manitoba and aims to carry forward the decolonizing traditions, ushered in by the Cree who became the Northern Flood Committee in the mid 1970’s.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".