A “Practically American” Canadian Woman Confronts a United States Citizen-Only Hiring Law: Katharine Short and the California Alien Teachers Controversy of 1915
Bibliographic record
Abstract
In February 1915, non-citizen teachers throughout California abruptly learned that they would soon lose their jobs when state officials announced that local and county governments were required to enforce a long-forgotten anti-alien public employment law. In response, one Canadian immigrant teacher, Katharine Short, launched a diplomatic, legal, political, and public relations campaign against the policy. Earning the support of powerful (Anglo-)Canadian nationalists in wartime and a favorable depiction in California news coverage as a “practically American” Canadian woman, Short’s efforts culminated in an exemption for most immigrant teachers from the state’s nativist public employment policies. This article recovers, recounts, and contextualizes the California Alien Teachers Controversy of 1915 at the center of transformations in the political development, law, and politics of American citizenship and citizenship rights from the late-nineteenth to mid-twentieth centuries. It testifies to the growing power and powers of state governments to shape immigrants' lives and livelihoods via alienage law long into the mid-twentieth century, the rhetorical strength and courtroom limits of “right to contract” arguments in the context of anti-alien hiring and licensure disputes, and the disparate impact of these nativist laws on immigrants owing to inequalities of race, gender, and class and how those inequalities shaped the less-than-inclusive aims and strategies of Katharine Short in her campaign to alter the state's nativist public employment policies.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.075 | 0.032 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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".