Bibliographic record
Abstract
Dresden is a town in Lincoln County, Maine, United States that was incorporated in 1794. HistoryThe town was originally settled in 1752 under the name Frankfort by French and German Huguenots, who were part of the rst wave of French speaking immigrants to arrive in Maine, but were distinguished from later arrivals by their Protestant TOWN OF DRESDENCreate PDF in your applications with the Pdfcrowd HTML to PDF API PDFCROWD faith.William Shirley built Fort Shirley in the community at the same time Fort Halifax (Maine) was built.First called Frankfort, so that the new French immigrants could pretend to be German, the town was incorporated as Pownalborough in 1760, when Lincoln County was created in the Maine District of Massachusetts.Pownalborough included the Town of Wiscasset, which was soon set o on its own as the shire town of the county.When the present territory was incorporated in 1794, Lincoln County Probate Judge Jonathan Bowman chose Dresden as the new name of the town because he liked the sound of it.Dresden is located on the eastern side of the Kennebec River.Dresden also o ers some historical sites as well, including an old, brick school building and the Pownalborough Courthouse, which is now used as a museum and is open to the public.The Pownalborough Courthouse was built in 1760 and was the rst seat of government east of the Kennebec River.The families who settled Dresden and those who were soon afterward sent there by the government of Massachusetts played a crucial role in the battle for American independence in Maine.Robert Treat Paine, John Hancock, and John Adams appeared at the Court House in the Revolutionary Era.Well known local families included the Goodwins, Houdlettes, Mayerses, Bridges, Bowmans, Percys, Johnsons, and Trussells, who variously left their marks on the history of the town, the state, and the country.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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; both teacher heads agree on what is shown here.
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".