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Record W2767728816

Extending a relative methodological perspective to sentencing outcome analysis

2017· dissertation· en· W2767728816 on OpenAlex
Andrew A. Reid

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSummit (Simon Fraser University) · 2017
Typedissertation
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Outcome (game theory)CriminologyPolitical sciencePsychologyEpistemologyComputer scienceMathematicsMathematical economicsPhilosophyArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

The mood and temper of the public in regard to any issue ought to be informed by up to date, comprehensive, valid, and reliable information. With respect to sentencing, the Canadian public has never been well-informed. This thesis suggests that introducing alternative methodological perspectives may hold the key to unlocking new findings in existing data sources. This is particularly true for descriptive comparison procedures where the goal is to identify meaningful patterns across factors related to the sentencing process. In order to supplement direct comparative procedures that have been used in previous research, this thesis uses a relative methodological perspective to develop new measurement techniques. A compilation of three studies employs the new techniques with existing data available in Canada to study critical areas of inquiry that have long plagued sentencing in the country. Study 1 introduces an analytic method to explore national patterns of sanction use across a series of offence categories. The new technique serves as an important supplement to conventional measures by uncovering patterns that had previously gone undetected. Study 2 uses the general approach proposed in Study 1 to advance a more complex analytic technique to detect jurisdictional consistency in sentencing outcomes. The technique is found to identify new forms of sentence consistency and disparity that had been neglected in previous research. Study 3 uses the strategy employed in Study 2, to study the sentencing patterns of Aboriginal offenders, specifically. By employing conventional measures alongside the newly developed technique, the study demonstrates that certain provinces and territories are disproportionately represented in their patterns of correctional program use with Aboriginal offenders. Collectively, the results of this thesis highlight the importance of adopting a relative perspective in sentencing outcome analysis.

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science 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 score0.877
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.000
Scholarly communication0.0000.000
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 head0.090
GPT teacher head0.383
Teacher spread0.293 · 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