Bibliographic record
Abstract
As the need to define indigeneity seldom came from within the indigenous communities, the lives and narratives of the Metis, who as a unique ethnic group came into being out of the colonial encounter, have been customarily associated with notions of borders, minority and hybridity. This essay focuses on and celebrates ambivalence of enunciation of the Metis subject, taking ＂metissage＂ as the cutting edge in Beatrice Culleton’s literary representation to approach the perplexing diversity of the Metis cultural positions. The term ＂metissage＂, borrowed from Francoise Lionnet, is treated as a composite, subversive desire for recovery and revival, and a tribal identity significantly defined by the clash of Native and non-Native cultures. The discussion will appropriate ＂metissage＂ to pivot upon the polemics of Metis Canadian hybridity, which resists Euroamerican imperial expansion imposed on the Metis communities and accounts for a complex and dynamic interplay of historical, ethnic and geographical space. In ＂In Search of April Raintree＂ (1983), the positionality of ＂metissage＂, which explores a cross-cultural poetics of hybridity and cultural difference, marks narrative strategies and representations of the communal, historical body of the Metis.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.037 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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 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".