Bibliographic record
Abstract
The New England states are home to many long and proud cultural traditions, including the practices of indigenous Northeast tribes, the legacy of Puritan settlers, the Portuguese coastal communities, Maine's Acadian population, and many other spheres of influence. The historical paintings of John Trumbull, the Cape Cod house, the locally set work of John Irving and Stephen King, Celtic and French-Canadian music, lobstermen and maple syrup culture, the Southy accent and the Curse of the Bambino—all these things and countless more have contributed to region's identity. Thirteen topical essays from leading scholars provide a detailed and fascinating overview of the cultures of New England. States include Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. The Greenwood Encyclopedia of American Regional Culturesis the first rigorous reference collection on the many ways in which American identity has been defined by its regions and its people. Each of its eight regional volumes presents thoroughly researched narrative chapters on Architecture; Art; Ecology & Environment; Ethnicity; Fashion; Film & Theater; Folklore; Food; Language; Literature; Music; Religion; and Sports & Recreation. Each book also includes a volume-specific introduction, as well as a series foreword by noted regional scholar and former National Endowment for the Humanities chairman William Ferris, who served as Consulting Editor for this encyclopedia.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.790 | 0.669 |
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".