Bibliographic record
Abstract
Inuit have contributed to museum collections for centuries, first through ethnographic collecting for early explorers, and later for traders, whalers, and government officials. Inuit have also contributed to collections through archaeological work as field assistants, archaeologists and through field schools. Archaeological field schools in Nunavut have trained young Inuit in archaeological field methods and community collaboration since the 1990s and into the early 2000s. Building on the field schools in Iglulik in the 1990s, archaeological work with Inuit communities in Nunavut since 1999 fostered the concepts of Indigenous archaeology early in the history of field schools in Nunavut. In this paper, Krista Ulujuk Zawadski and Ericka Chemko share their experiences on field schools that took place in Nunavut as organized by the Inuit Heritage Trust Inc. (IHT) from 2002-2008 through discussions and personal reflections, offering insight into the field schools and Inuit contributions to contemporary Arctic archaeology and anthropology.
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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 | 0.001 |
| 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 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".