Boys to Braves: Performing an Idealized Colonial State at Ontario Canoe-Tripping Camps
Bibliographic record
Abstract
Ontario canoe-tripping camps, some of the oldest and most well-established summer camps in the world, have recently begun searching for ways to address issues of racial and socioeconomic exclusion within their institutions. It is well established that summer camp is a predominantly white, wealthy, masculine space, but methods for combating these forms of exclusion have of yet been largely unsuccessful. This study aims to contextualize the issues these camps face today within the broader framework of the settler-colonial project, wherein summer camps were founded as a means of replicating and impersonating an idealized colonial state on a microscopic scale. Specifically, it traces settler-colonial values of masculinity, whiteness, and social class from the founding of the North American camping movement to today, and how these values may have impacted the experiences of multiple generations of campers and staff. In this context, the settler-colonial project is broadly described as the aim of the United States and Canada to form white, European, patriarchal and capitalist societies on North American Indigenous lands, through the conscious erasure and eradication of Indigenous peoples. The project will rely on a series of multigenerational interviews and discussions with camp alumni, investigating the prevalence of colonial values in the camp experience.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.028 | 0.022 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".