Bibliographic record
Abstract
As the rising sea levels of climate change reshape hemispheric space, we are confronting the historical legacies of building cities by the sea. This is especially so on small Prince Edward Island, in the Gulf of St. Lawrence. This essay explores the transformation of the waterfront in the Island’s capital city, Charlottetown, according to the prerogatives of the railway era in the latter nineteenth century. Covering fresh water and filling in salt were fundamental to city-building in nineteenth-century North America, but this essay seeks to highlight the importance of considering the intersection of fresh water and salt in our coastal cities, and the prevalence of the ethos of development in even smaller cities along the shore. This is the story of how a colonial capital initially praised for and defined by its aqueous features gradually lost one particular wetland in its downtown core, in building out the fabric required for the railway era. Human intervention had profound environmental consequences in shaping the city, especially its waterfront, and tied this Island city to larger narratives of urbanization, the politics of transportation and technology, and the regime of fossil fuels. Charlottetown demonstrates why coastal cities must rediscover their water lines, as tidewater, newly animated by climate change, forces us to address the origin, extent, and adaptability of urban infrastructure inherited from the nineteenth century. This essay draws heavily on manuscript and commercial maps.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.020 | 0.023 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".