MétaCan
Menu
Back to cohort

Academia as Partner in the Habré Trial

2020· book-chapter· en· W3036200217 on OpenAlexaboutno aff
Érick Sullivan, Fannie Lafontaine

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicLegal Systems and Institutions
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipContext (archaeology)Political scienceWork (physics)Criminal justicePublic relationsLawEngineering

Abstract

fetched live from OpenAlex

Abstract This chapter highlights how the clinical work of Érick Sullivan and Fannie Lafontaine from Canada's Laval University with law students supported both the Hissène Habré trial as well as student engagement with international criminal justice. During the 5 years that lasted Laval University's involvement in the Habré case, academics and students alongside practitioners undertook numerous activities. This collaboration demonstrated how legal clinics can be used as a hub bridging academia and community in the context of strategic litigation. Through them, researchers' outputs are feeding strategic litigators, and practitioners' applied knowledge is feeding the researchers' agenda, thus allowing both to co-create innovative arguments that will be used in strategic litigation to achieve the expected long-lasting impact on law and society. This novel partnership structure hosted at Laval University links academic researchers, legal clinics, and NGO partners across Canada to work on an interdisciplinary research program that has both international and Canadian dimensions comprised of three main axes that pertain to different and complementary routes that victims of international crimes can take in Canada, in other states, and before international institutions, to seek criminal, civil, and administrative or other remedies.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.822
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.007

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 head0.053
GPT teacher head0.256
Teacher spread0.203 · 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; both teacher heads agree on what is shown here.

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
Published2020
Admission routes1
Has abstractyes

Explore more

Same topicLegal Systems and InstitutionsFrench-language works237,207