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Record W7054762463

Aboriginals' primary and secondary control over and satisfaction with the Canadian justice system

2010· dissertation· en· W7054762463 on OpenAlexaffabout

Bibliographic record

VenueMspace (University of Manitoba) · 2010
Typedissertation
Languageen
FieldEngineering
TopicNanopore and Nanochannel Transport Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsEconomic JusticeControl (management)Procedural justicePerceived controlSignificant differenceSelf-control
DOInot available

Abstract

fetched live from OpenAlex

In Canada, no group has a more complex, negative history of involvement with the justice system than Aboriginals. The study investigated differences between the control and satisfaction perceived by Aboriginals and non-Aboriginals through the use of original questionnaires administered both during and after participant contact with the Canadian justice system. As predicted, there was a positive correlation between primary and secondary control ratings. However, Aboriginals and non-Aboriginals failed to differ in level of control and satisfaction. Participants reported higher levels of perceived secondary control than primary control for the treatment they received by staff but not the usefulness of legal services. Women reported higher levels of total perceived control than men, but only for Aboriginal women. Women reported significantly higher levels of expected than obtained outcome satisfaction. Findings suggest that people‟s experiences and misgivings about the Canadian justice system are not significantly different, regardless of ethnicity. Although people are not particularly happy with the current system, no group feels clearly more helpless than any other with regards to addressing their legal needs.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.235

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.003
GPT teacher head0.157
Teacher spread0.153 · 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 designObservational
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
Published2010
Admission routes2
Has abstractyes

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