Bibliographic record
Abstract
This article examines the type of family lore that leads white Canadians and Americans to claim Indigenous identities. Using a case-study approach, I demonstrate how 2000 descendants of a French-Canadian couple, born in the early 1800s near Montréal, joined one of the largest land claims in Canadian history as “Algonquins”. The tools of critical settler family history provide the necessary theoretical scaffolding to unpack how genealogical and geographical proximity to Indigenous people in the past are the bases for the family lore that propelled these individuals to become card-carrying, voting members of the land claim. Despite continued opposition to their inclusion by the Algonquins of Pikwakanagan First Nation, the only federally recognized Algonquin community involved in the land claim, these fake Algonquins remained potential land claim beneficiaries for over two decades, until an independent tribunal finally removed them in 2023. Family lore resolves the crisis in the family: no longer the colonizers responsible for Indigenous displacement and dispossession, white pretendians become the victims of settler colonial violence.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.024 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".