High School, Hemorrhage, and a (Mechanical) Heart: the case of Provincetown, Massachusetts
Bibliographic record
Abstract
Situated at the tip of Cape Cod, Provincetown, Massachusetts can feel like the end of the earth. It presents a case of transition and the struggle for communities on the margin to maintain a population of year-round residents. For most of the 20th century Provincetown sustained a vibrant community with commercial fishing as its primary sector alongside tourism’s infusion of seasonal visitors and revenue. However, the decline of fisheries, due to stock decline and increasing enclosure, coincided with a dramatic increase in property value largely because of second homebuyers. Presently, the reliance on tourism and the geographic position of Provincetown brings challenges for the local workforce, the provision of affordable housing, and the maintenance of local municipal services. Although many locals do not dispute the present economic importance of tourism, many have come to highlight its lack of suitability as a complete substitute for the fishing industry. During interviews conducted in 2015, respondents spoke about drastic change witnessed over the past three decades both in the local fishing fleet and the wider community. Central were the converging themes of gentrification—or as some referred, “resortification”—the compounding effects of diminishing opportunities in fisheries and the community’s geographic remoteness from much of Cape Cod and larger metropolitan areas. The closure of the local high school, a bellwether of change, emblemized this local transformation. Additionally, corporeal imagery, (e.g. “hemorrhage” and “mechanical heart”) serve as metaphors for the importance of the fishing industry and the anxieties surrounding the community’s future provide discursive narratives ripe for analysis. The paper reflects the themes and inquiries of the proposed panel, as well as the wider conference theme, in its examination of the mobility of fishing access and residents out of a place, new capital into a place, and the material emblems of a community whose future is in question.
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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 | 0.001 | 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 | 0.023 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 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".