Taking on Looting: Pursuing Sustainable Site Protection Policies in Southern Ontario
Bibliographic record
Abstract
Centuries of looting has repeatedly unearthed the archaeological remains of First Nations middens, villages, and cemeteries. This paper presents a case for new measures to curtail these illicit practices in Ontario. Over the last decade, many archaeologists have espoused a program of sustainable archaeology. I suggest protections of in situ contexts against looting will further the objectives of sustainable archaeology and contribute to this broader trajectory of practice in the province. Using the history of looting and archaeological conditions at Neutral Iroquoian (Attawandaron) sites, along with information from modern collectors, the paper reveals the persistent threat of looting and the necessity for action. I suggest the province, municipalities, and archaeological stakeholders deploy policies aimed at preserving these resources into the future. I advocate for a stewardship of personal and collective responsibility among property owners and hobbyists through educational initiatives, legal easement agreements, and existing legislative mandates to serve as a pragmatic step towards the long-term sustainable protection of these sites.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".