Flooding Hope and Livelihoods: Lake St. Martin First Nation
Bibliographic record
Abstract
ABSTRACTLake St. Martin First Nation, a community situated in the Interlake Region of Manitoba, was permanently displaced in 2011. After they were flooded out of their ancestral lands and left homeless, the Province of Manitoba further disempowered the members of the community by refusing to listen to their preference for a new site. That a nearby Cold War radar base was selected by the Province as an interim location, against the wishes of the community, further victimized the members and left them in limbo. This article, incorporating both Indigenous and Western methodologies, examines the consequences of community displacement on sustainable livelihoods, homes, health, and sociocultural integrity in the Lake St. Martin First Nation. RÉSUMÉ La Première Nation de Lac St-Martin, une communauté autochtone de la région Entre-les-Lacs au Manitoba, a été déplacée en permanence en 2011. Une inondation a couvert ses terres ancestrales et a laissé ses membres sans domicile. Le gouvernement manitobain a diminué encore plus le pouvoir de ceux-ci en refusant de tenir compte de leurs préférences pour un nouveau site. Il a exacerbé leur statut de victime en choisissant un emplacement intérimaire contre leur gré – une ancienne base radar à proximité utilisée pendant la Guerre froide – les laissant ainsi dans une situation incertaine. Cet article, recourant à des méthodologies autochtones et occidentales, examine les conséquences du déplacement de cette communauté sur le travail, le logement, la santé et l’intégrité socioculturelle de ses membres.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".