Minimally Invasive Research Strategies in Huron-Wendat Archaeology
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT The rapid pace of economic, political, and social change over the past 150 years has framed and reframed archaeological practice in Ontario. Indigenous groups have become increasingly involved in and critical of archaeological research. Indigenous peoples who value archaeological investigation of ancestral sites, but also desire to protect their buried ancestors, have restricted archaeological excavation and the analysis of remains. Over the last decade, research and consulting archaeologists in Ontario, Canada, have worked collaboratively with Indigenous peoples with an eye to developing sustainable archaeology practices. In the spirit of sustainable archaeology, a comprehensive research project and field school run by Wilfrid Laurier University is training the next generation of archaeologists to adopt investigative techniques that minimize disturbance of ancestral sites. Here we present the results of our surface, magnetic susceptibility, and metal detecting surveys of a Huron-Wendat village site, which pose minimally invasive solutions for investigating village sites in wooded areas. The water-sieving of midden soils in an attempt to recover 100 percent of cultural materials, and the analysis of archived collections also honor the values of Indigenous descendant communities by limiting additional invasive excavation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it