Muster Book of Free Black Settlement of Birchtown, Port Roseway, 1784
Bibliographic record
Abstract
Dataset CreatorsLibrary and Archives of CanadaThis dataset is based on the “Muster Book of Free Black Settlement of Birchtown, Port Roseway” (original title), a register created in the summer of 1784 listing the names of Black Loyalists who established the settlement of Birchtown, in the vicinity of Shelburne, Nova Scotia. The original register is part of the Port Roseway Associates series in the Shelburne historical records collection (R16987; MG9 B9-14) preserved at Library and Archives Canada (LAC). The Port Roseway Associates was a mutual aid group formed by Loyalists who settled in Port Roseway (Shelburne), Nova Scotia, following the American Revolution.The dataset provides the names and the ages of 1,498 of Black men, women, and children. A digitized copy of the register on microfilm (H-984; images 75 to 129; pp. 107- 207) is available online.1 The register gives more details about the members of the Birchtown Black settlement including professions or trades, military rank and affiliation (where applicable), family ties between individuals listed, and, in some cases, information regarding provisions and temporary accommodation received at the time of their arrival.2007-2008 (estimated)EnglishBirchtown, Nova ScotiaPort Roseway, Nova Scotia1784Military Service Record; RegisterOriginal: “Muster Book of Free Black Settlement of Birchtown, Port Roseway,” Shelburne historical records collection R16987; MG9 B9-14, Library and Archives Canada (LAC).Microfilm: 'Muster Book of Free Black Settlement of Birchtown, Port Roseway,' R16987; MG9 B9-14, Library and Archives Canada (LAC), microfilm reel H-984 (pp. 107-208).Digital: 'Muster Book of Free Black Settlement of Birchtown, Port Roseway,' Canadiana Héritage, https://heritage.canadiana.ca/view/oocihm.lac_reel_h984, images 69-123.Volunteers and researchers indexed the information from the microfilm sometime shortly prior to 2008. Although the original document identified male heads of household with an additional field for women and children, the data listed people individually and did not retain relational information; these will be added at a later date if possible.Dataset Repository: Harvard Dataverse, https://doi.org/10.7910/DVN/3DPFPDLinked Data Representation: Enslaved.org
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.022 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.109 | 0.070 |
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".