Photo Essay Documenting Canadainas and their Interactions with Water
Bibliographic record
Abstract
During July and August of 2012 I traveled across Canada from Saskatchewan to Newfoundland and documented Canadians and their interactions with water. My topic was intentionally broad in scope because I didn’t want to shape my experience too much, I wanted to document what I saw of Canadians and water as I came across it. The results are a mixture of fortunate timing and casual conversation with people along the way. \nFor example, I arrived at Fort St. Joseph on the southern tip of St. Joseph Island (the second largest island in Lake Huron) 200 years to the day of the first military action of the war of 1812. I did not plan that, but I was enthralled with the reenactments that included solders, metis and indigenous peoples along with an American frigate firing canons just off shore. 200 years ago to that day British, French Canadian voyageurs and First Nation warriors gathered together, crossed that part of lake Huron that currently separates Canada and the USA, and captured the American Fort Mackinac. Water and war. I took some photos there. \nI also photographed Canadians and; beaches, boats, canals, clams, ferries, fishing, float planes, mud sliding, rain, sailing, sandcastles and tidal bore rafting to name a few aquatic interactions. \nNow I plan on organizing the thousands of images taken and compiling them into something coherent and worth showing.
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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 | 0.000 | 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) | 0.004 | 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 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".