Review of: Kleinsasser, Ian. 2019. <em>Blessings and Burdens: 100 Years of Hutterites in Manitoba</em>.
Bibliographic record
Abstract
Ian Kleinsasser’s short book on Hutterites in Manitoba deserves attention. It is based on three lectures given at the inaugural Jacob D. Maendel Lectures in 2019. This lecture series was established in honor of Jacob Maendel (1911-1972) in the context of the centennial preparation of permanent Hutterite settlement in Canada. The three lectures were held in Portage la Prairie, and as the book’s introduction points out, were attended by representatives of both Schmiedeleut I and II groups. Jacob D. Maendel was a prominent Schmiedeleut leader of his generation and a driving force in advancing Hutterite education. His initiative led to the first Hutterites in Manitoba receiving college education and teaching certificates. It is thus perfectly fitting that Ian Kleinsasser from Crystal Springs Colony has a degree in education and that his narrative rests on solid historiographic method, empirical evidence, and a careful assessment of primary and secondary sources. [First paragraph.]
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.050 | 0.029 |
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".