Bibliographic record
Abstract
In this introduction to the special issue, we examine some of the ways that settler colonialism permeates archaeology in Canada and argue for unsettling approaches to archaeology. Archaeology is a product of and remains a tool for settler colonialism, often oppressing both people of the past and people in the present, especially Indigenous People, Black People, People of Colour, and LGBTQ2S+ community members. We call for unsettling research paradigms, which aim to disrupt the settler colonial foundations that continue to permeate archaeological work and ensure that it benefits only a select few. Unsettling approaches target not only the work we do as archaeologists, but also the structures our work operates through, including universities, museums, different levels of government, and heritage policy and legislation governing private sector archaeology. They require us to acknowledge and confront our relationships to settler colonialism and the ways we participate in it, in all aspects of our lives. Unsettling paradigms play out differently within each project and for each participant, depending on individuals’ unique relationships to settler colonialism, their own experiences, and the context. As illustrated in the papers in this special issue, they encompass themes of truth, listening, learning, feeling, relinquishing control, and building strong futures. To move towards an archaeology that is anti-colonial, anti-racist, and anti-mysogynist, we must address the deeply embedded colonialism, racism, and misogyny in Canadian settler colonial structures and society. We must start by addressing them within ourselves and the institutions that govern and support our work. Because the unequal power relations within archaeology are so entrenched and pervasive, change may come slowly. It will involve long-term commitment to an ongoing cycle of learning, feeling (particularly when we feel uncomfortable), questioning, and most importantly, acting.
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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 | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.021 | 0.025 |
| Scholarly communication | 0.020 | 0.011 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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".