The Crab House on Oyster Creek: Folkloristic Response to Vernacular Landscape and its Environmental Moorings
Bibliographic record
Abstract
The Andersen crab house on Oyster Creek is located on a waterway that is part of the wider estuarine environment consisting of New Jersey’s Great Bay and the Mullica River. It is a building type that has long served oystermen, clammers, crabbers, finfishers, and waterfowlers along New Jersey’s Atlantic Ocean and Delaware Bay coastlines. Having survived for almost ninety years, the building’s siting allows Phil Andersen to effectively tend the adjacent crabbing grounds and prepare the catch for market. The building, along with his boat and harvesting gear organizes the contours of his working landscape, tools that do not simply define the occupation’s environmental fit, but, as an assemblage, continually advance Andersen’s acquisition of traditional ecological knowledge. While its stark presence on the salt marsh punctuates its environmental fit and role as the axis of Andersen’s occupational map, its enduring function as a working landscape resonates widely throughout the community. The work and social life of the building speak to its capacity to be broadly affiliative, its features, use, and siting laden with aesthetic and performative depth that make it a touchstone of environmental experience and sense of place. These attributes—specifically their role in curating memory and affirming a community’s environmental moorings—show how the Andersen crab house, and similar buildings that preceded it, have engendered folkloristic response for over one hundred and fifty years.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".