Bibliographic record
Abstract
The goal of the Lake Ontario Maritime Cultural Landscape project was to\ninvestigate the nature and distribution of archaeological sites along the northeast\nshoreline of Lake Ontario while examining the environmental, political, and cultural\nfactors that influenced the position of these sites. The primary method of investigation\nwas a combined archaeological and historical survey of the shoreline within seven 1-km\nsquare areas. The archaeological component of the survey covered both the terrestrial\nand submerged portions of the shore through marine remote sensing (side-scan sonar and\nmagnetometer), diving surveys, pedestrian surveys, and informant interviews.\nA total of 39 sites and 51 isolated finds were identified or further analyzed as a\nresult of this project. These sites ranged from the Middle Archaic period (ca. 5500-2500\nB.C.) through the 19th century and included habitation, military, transportation, and\nrecreational sites. Analysis of these findings was conducted at two scales: the individual\nsurvey area and Lake Ontario as a whole. By treating each survey area as a distinct\nlandscape, it was possible to discuss how various cultures and groups used each space\nand to identify instances of both dynamism and continuity in the landscapes. Results of\nthese analyses included the continuous occupation of several locations from pre-Contact\ntimes to the present, varying uses of the same environment in response to political and\neconomic shifts, the formation of communities around transportation nodes, and\nrecurring settlement patterns. The survey data was also combined to explore regional-scale\ntrends that manifest themselves in the historical Lake Ontario littoral landscape including ephemeral landscapes, permeable boundaries, danger in the lake, and factors\nof change.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.064 | 0.001 |
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 teacher head, 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".