“Like We're Meeting the Ancestors”: Toward an Lˈnucentric Archaeology in Miˈkmaˈki
Bibliographic record
Abstract
ABSTRACT We explore the possibilities for an archaeology that is relevant to, and empowering of, Indigenous futures by reflecting on four seasons of archaeological fieldwork, our encounters with Lˈnu (or Miˈkmaw) material culture, our experiences returning to ancestral Lˈnu places, and our engagements with sociocultural and archaeological anthropologists and Indigenous studies scholars who have been debating the merits of community‐based collaborative research projects for the past three decades. Drawing on Linda Tuhiwai Smith's definition of decolonization, we suggest that a not‐quite‐here future Lˈnucentric archaeology in Miˈkmaˈki would not seek to imitate Western archaeological conventions, but change them. Our efforts to change archaeology have included expanding the scope of what counts as relevant archaeological data. We record both empirical observations related to artifacts, features, and stratigraphy, and also moments when our work has provided opportunities for our Lˈnu coauthors to meet their ancestors.
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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 | 0.020 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.027 | 0.049 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".