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Record W4409985383 · doi:10.32396/usurj.v9i2.752

Voices Unheard

2024· article· en· W4409985383 on OpenAlexaffvenueabout
Kathryn Sawatzky

Bibliographic record

VenueUSURJ University of Saskatchewan Undergraduate Research Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHomicide, Infanticide, and Child Abuse
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

This paper examines the role of women's testimony in extradition cases between Canada and the United States from 1868 to 1923. In Canada, only 35 women testified in court in a total of 407 cases. In most instances, the women testifying were married and testifying to their husband's innocence or guilt. In these cases, their husband's extradition, conviction, and liberation were often determined by what they said. Women who testified as victims of crimes, often assaults, saw far more ambiguous success. Ideas about the purity of women influenced whether the courts listened to the testimony of unmarried women and girls or allowed them to testify in the first place. Finally, in rare instances, women appeared in these transnational court cases in a professional capacity (often as doctors or secretaries). While married women were treated with respect and single women with some suspicion, divorced women were scrutinized heavily. This divergence, especially in the Canadian courts, emphasizes the uneven ways the border influenced married life. Divorce was illegal in Canada at this time, and marriage was viewed as the building block of Canada's new society. As such, many divorced women who came from the United States were belittled and overly questioned compared to married women from Canada. As a result, this paper argues that Canadian and American attempts to punish criminals who fled across national borders prioritized looking at a woman's marital status above all other factors when assessing whether a potential witness might have valuable information for the courts.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.038
GPT teacher head0.327
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes3
Has abstractyes

Explore more

Same venueUSURJ University of Saskatchewan Undergraduate Research JournalSame topicHomicide, Infanticide, and Child AbuseFrench-language works237,207