Languages of Ethnicity: Teaching German in Waterloo County's Schools, 1850–1915
Bibliographic record
Abstract
La classe d'allemand des écoles publiques du comté de Waterloo, en Ontario, a braqué le feu des projecteurs sur l'ethnicité locale de la région et suscité des débats publics sur le sens à donner à la langue allemande et sur l'importance de celle-ci comme vecteur d'identité culturelle. Les leaders ethniques cherchaient ardemment à préserver la « pureté » ancestrale de leur langue maternelle et à stimuler l'inscription aux programmes d'enseignement de l'allemand. Or, les langues de l'ethnicité dans le comté de Waterloo n'étaient pas assujetties à la norme allemande dont les leaders ethniques cherchaient à faire la seule expression légitime de la langue maternelle. Plutôt, une langue allemande locale émaillée de phases, d'une syntaxe, de mots et d'expressions idiomatiques de langue anglaise est demeurée un moyen de communication pendant une bonne partie du vingtième siècle. Ce nouveau parler fluide – le « pidgin » allemand, comme l'appelaient à la blague les chefs de file ethniques – reflétait l'hybride culturel qu'était le comté de Waterloo.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".