I miss the Americans: the disappearance of seasonal cottages, a cross-border community and the love ethic
Bibliographic record
Abstract
In this an ongoing project I am trying to document the social and formal dissolution of a once tightly interconnected cross-border (US-Canada) community. I focus on the building typology of the seasonal cottage which once characterized the area and which are now being sold, en masse, by their American owners. The typology of the seasonal cottage here in this lakeside bordertown has been, I argue, a key contributor to a specific kind of “love ethic”1 that has bound people in this community not just to each other, but perhaps more importantly, to its context: the natural environment. In addition to photographic documentation and measured- drawings, autoethnography the most obvious inroad for me to conduct this ongoing project because I live in the middle of this rapidly changing community. Autoethnography acknowledges the particular circumstances of the author and “seeks to describe and systematically analyze personal experience in order to understand cultural experience.”2 I live in a seasonal cottage which has been, over the decades, buttressed-up with four, maybe five, additions. Notoriously tentative in their construction, mainly because of make-shift piers used as foundations, these seasonal cottages weren’t necessarily meant to have long lives, though many have. Their humble size and informal construction juxtaposed against the big lake, mature tree canopy and sometimes-wild wind can be seen as a deferential stance.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.035 | 0.026 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".