4. TECHNOPOLITICS IN THE ARCHIVE: SOVEREIGNTY, RESEARCH, AND EVERYDAY LIFE
Bibliographic record
Abstract
ABSTRACT This article explores the place of the archive in the context of land claims research. This essay develops a critical approach to identity technopolitics with the aim of helping historians working with indigenous communities to ask new kinds of questions about the relationships and subject positions opened up by archivization and the myriad other technologies of land claims research. Since researchers first began preparing for the Canadian case, Delgamuukw’ and Gisday'wa v. The Queen, four decades ago, the immense stores of documentary evidence generated for the trial have given ground to numerous new claims and conflicts. Tracing the experiences of one prominent Gitxsan historical researcher who has leveraged his own archive and expertise to build genealogies for hundreds of individuals, I explore the intimate disappointments and impossible obligations that indigenous historians must mediate.
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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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.014 | 0.088 |
| Scholarly communication | 0.025 | 0.017 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".