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Record W4410632591 · doi:10.22215/etd/2025-16425

The Presumption of Non-Credibility

2025· dissertation· en· W4410632591 on OpenAlexaffabout
Danica Sara Nardi-Lamadeleine

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldComputer Science
TopicHate Speech and Cyberbullying Detection
Canadian institutionsCarleton University
Fundersnot available
KeywordsPresumptionCredibilityPolitical scienceLaw and economicsLawSociology

Abstract

fetched live from OpenAlex

Sexual violence is a rampant issue that affects millions of individuals around the world and especially women. This thesis will explore the work that the presumption of innocence, Section 11(d) of the Canadian Charter of Rights and Freedoms, does in the sexual assault trial in Canada. By discussing the juridogenic nature of Section 11(d) from an anti-carceral feminist perspective, and combined methods approach, I will demonstrate the both essential and vexatious nature of the presumption of innocence. Due-process procedures render a complainant untruthful by the natural effect of rendering an accused person honest, therefore, I argue that Section 11(d) creates and codifies a presumption of non-credibility on complainants. This reflects epistemic injustice and is especially problematic for survivors, because the issue becomes compounded by rape myths and testimonial injustice. The thesis engages in broader arguments around the call for justice beyond judicial convictions and community commitment to change.

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)0.058
metaresearch head score (Gemma)0.198
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.058
Threshold uncertainty score0.305

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0580.198
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0070.069
Scholarly communication0.0120.011
Open science0.0040.008
Research integrity0.0090.016
Insufficient payload (model declined to judge)0.0050.001

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 head0.008
GPT teacher head0.258
Teacher spread0.250 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes2
Has abstractyes

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