Bibliographic record
Abstract
This article analyzes two 2018 performance events organized by the Labrador Land Protectors, a grassroots collective currently advocating against the construction of a massive hydroelectric generating facility at Muskrat Falls, Labrador, through a movement that has come to be known as Make Muskrat Right. The first event, In Loving Memory, staged a mock memorial service for lost lands and culture and took place as part of the National Day of Action against Muskrat Falls in June 2018. The second event occurred at the closing ceremonies of the Muskrat Falls Symposium, held in September 2018 at Memorial University of Newfoundland. At these events, the collective experience of melancholia for that which has been lost as a result of Western energy culture foregrounded and enacted the intimacy needed for decolonial love. Taken together, the events shed light on the way relations between settlers and multiple Indigenous groups in Make Muskrat Right resist the settler fantasy of reconciliation, focusing instead on recognition, healing, and renewal through attunement and responsiveness to difference.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.020 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".