To Bring Back the Summer
Bibliographic record
Abstract
Abstract The Innu have a history in the Québec–Labrador Peninsula that reaches back at least 8,000 years as testified by Innu atanukana (“legends”) and archaeology. Though muffled by millennia, the stories people tell, such as Kautuasukuaniskuanast (the boy who brought back the summer and who was transformed into the White-Crowned Sparrow), are parables of Innu history that document the arrival of Innu ancestors in the peri-glacial world of Nitassinan. More recent history has been appropriated by colonial institutions presenting the past as belonging (like the present and future) to the newly arrived French (Mastukushut) and English (Akaneshaut). Other than as part of the backdrop to a heroic tableau involving intrepid French and English “explorers” and adventurers, the Innu are thoroughly absent. Archaeology has the potential to help “bring back the summer” and possibly give voice to an unwritten Innu history by recognizing and disrupting the currently unquestioned/unequal power dynamic between western and Indigenous versions of the past.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.051 | 0.015 |
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".