Bibliographic record
Abstract
The Anishinaabe people of Turtle Island [North America] have a teaching called the Seven Fire Prophecies, which clocks the history of our time on this land, from how we received our earliest teachings, through the arrival of the “light-skinned race,” through the loss of our ways. According to many of our teachers, we are now living in the time of the seventh fire, a time when there will be “a rebirth of the Anishinaabe nations and a re-kindling of the sacred fire.” The eight fire is an extension of the prophecies, a suggestion and a wish that now is the time for the Indigenous people and the settler communities to work together to achieve justice, to live together in a good way. —Yvette Nolan (Algonquin), Medicine Shows In many disciplines where it has become apparent that scholarship has been one of the key technologies of colonization, complicit in the exploitation and decimation of the land and its human and nonhuman inhabitants, there has been a (re)turn to ways of knowing that are not about power/knowledge—naming, disciplining, categorizing, objectifying, and isolating elements—but about relationality, reciprocity, respect, and what Opaskwayak Cree scholar Shawn Wilson discusses under the principle, shared across many Indigenous cultures, of “relational accountability.”
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.
How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".