Lake St. Martin First Nation Community Members’ Experiences of Induced Displacement: “We’re like refugees”
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In 2011, a massive flood occurred in the Canadian province of Manitoba, and provincial government officials decided to divert water to Lake St. Martin and First Nation land to protect urban, cottage, and agricultural properties. As a result of this artificial flood, all community members were evacuated, with infrastructures and housing at Lake St. Martin First Nation permanently destroyed. Three years later, 1,064 Lake St. Martin First Nation members reside in urban hotels and other temporary residences. Data from participatory videography and community workshops were analyzed using the sustainable livelihoods framework. Environmentally and developmentally induced displacement transformed an entire First Nation community into refuges in their homeland. Jurisdictional issues and racism prevented provisioning of services to meet their basic needs, help rebuild their lives, and relocate their community. Inclusive evacuation, relocation, and water-management policies and procedures are recommended.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it