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Record W1873255894 · doi:10.25071/1920-7336.26037

The Many Faces of "Prima Facie"

2008· article· en· W1873255894 on OpenAlexvenueno aff
Jean‐François Durieux

Bibliographic record

VenueRefuge Canada s Journal on Refuge · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsPrima faciePresumptionRefugeePresumption of innocenceRebuttalPolitical scienceLaw and economicsLawOrder (exchange)PsychologySociologyBusiness

Abstract

fetched live from OpenAlex

The majority of the world’s refugees have secured a legal status without resort to an individual examination of their claims. The practice of “group” determination, particularly in Africa, is interesting in several aspects, not least in that it allows a real-time assessment of a need for international protection. While these positive aspects should not be lost as many jurisdictions in the developing world are equipping themselves with individual asylum procedures, it is equally important to clarify, and hopefully to harmonize, the procedural and evidentiary standards applicable to group determination. How presumptions operate—including their rebuttal or removal—is a question worth examining, and not only with regard to refugee status determination (RSD) in mass influx situations. Legal presumptions and other evidentiary shortcuts have also been introduced into individual RSD procedures in industrialized states. These include mechanisms that are highly problematic from a protection point of view, such as the “safe country of origin” presumption of a “manifestly unfounded” claim. However, administrative bodies and courts have also, from time to time, used some form of prima facie admission of evidence in order to lighten the burden of asylum applicants, while speeding up the RSD process. Furthermore, this article argues that extralegal presumptions, based on implicit value judgments about national or subnational groups, almost invariably colour the interviewing and decision-making processes in individual cases. Th is finding makes it all the more necessary : to (i) to re-assess the signifi cance of “risk-group affi liation” as an element of the refugee defi nition; and (ii) formally recognize the role of evidentiary shortcuts in RSD, and recommend appropriate standards for their operation.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.990
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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.270
Teacher spread0.251 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations5
Published2008
Admission routes1
Has abstractyes

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