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Record W7052022049

Prisoner Aid Beyond Borders: A Transnational History of Prisoner Aid Societies in Canada, Australia, New Zealand, and the United States, 1930-1970

2023· dissertation· en· W7052022049 on OpenAlexaboutno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2023
Typedissertation
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsCommonwealthVariety (cybernetics)Economic JusticeDevelopment aidGovernment (linguistics)Criminal justice
DOInot available

Abstract

fetched live from OpenAlex

This dissertation examines the histories of prisoner aid societies, which were (and continue to be) volunteer-based organizations that support incarcerated people and their families, across Canada, Australia, New Zealand and the United States between 1930 and 1970. More specifically, my research compares the policies and practices of societies from Ontario, New York, Victoria, and New Zealand, while also exploring societies’ transnational interactions and sharing of information. The mid-twentieth century saw an increase in the volume and variety of activities that prisoner aid societies in each of the four areas of study conducted both inside and outside of prisons. Treated together, the histories of prisoner aid societies in the key commonwealth nations of Canada, New Zealand, and Australia, and in the close neighbour of the United States offer an opportunity to explore how citizens engaged with justice systems, the role that volunteers played in the rehabilitation of prisoners, and how prisoner aid societies advocated for change in all levels of their respective legal systems. This project is grounded in archival research from each of the four areas of study from national, state, provincial, organizational, and personal record collections.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.686

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0300.015
Scholarly communication0.0050.003
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.007
GPT teacher head0.181
Teacher spread0.174 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2023
Admission routes1
Has abstractyes

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