Looking Back in <i>Kewekapawetan: Return After the Flood</i>. Research, Remembrance and Reclamation of a Hydro Story
Bibliographic record
Abstract
This essay analyses Jennifer Dysart’s 2014 documentary film Kewekapawetan: Return After the Flood, which tells the past and present-day story of the Northern Manitoba Ithinew (Cree) community South Indian Lake and its entanglement with Manitoba Hydro. Dysart documents the history of colonial hydro policy by showcasing rare archival footage from the late 1960s and reclaims this material for the community she has roots in. At the same time, she records her search to learn about her father’s life and her efforts to reconnect with family by spending time on the land. Discussion between author and filmmaker throughout the research and writing process engages “visiting” as a methodology for studying Indigenous narrative arts. Ultimately, Dysart’s visual storytelling is a critical site of knowledge-making about the dislocation caused by large-scale resource extraction that foregrounds reconnection to family, community and land.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.012 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".