Mikak and the Beginning of Moravian Mission Work in Labrador: Benjamin La Trobe’s Account of a Conversation with the Princess of Wales
Bibliographic record
Abstract
ABSTRACT Mikak (ca. 1740s–1795), an Inuit woman from Labrador, was taken to England with her child Tutauk in 1768–1769, where she met the Queen Dowager, Princess Augusta of Saxe-Gotha (1719–1772), the mother of King George III. In 1770, on an exploration journey to search for a settlement site for their planned mission in Labrador, the Danish Moravian missionaries Christen Larsen Drachardt (1711–1778) and Jens Haven (1724–1796) were given some fox pelts by Mikak through which she wanted to reciprocate the gifts she had received from the princess in England. The ensuing conversation between the princess and the missionaries as well as the Moravian official Benjamin La Trobe (1728–1786) reveals the great interest of the princess in religious matters and covers ecclesiastical, theological, and indigenous topics as well as the biographical particulars of the Moravian nobility with whom the princess was acquainted.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.036 | 0.022 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".