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Record W4283172005 · doi:10.1177/00438200221107412

AIMING FOR SUCCESS

2022· article· en· W4283172005 on OpenAlex
Noah S. Schwartz

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWorld Affairs · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGun Ownership and Violence Research
Canadian institutionsUniversity of the Fraser Valley
Fundersnot available
KeywordsPopularityDysfunctional familyValue (mathematics)Public policyPolitical sciencePublic relationsLaw and economicsLawPublic administrationEconomicsPsychologyComputer science

Abstract

fetched live from OpenAlex

Despite the popularity of the Evidence-Based Policy Making paradigm, scholarly evidence often fails to have an impact in emotional or value-laden policy debates. Consequently, changes to Canada’s gun control laws in recent years have often failed to incorporate scholarly research. This is problematic given that the forces of path dependence impose costs on policy makers who seek to reverse established policies, even if they are dysfunctional. This article lays the theoretical foundations for a Firearms Policy Evaluation Framework, which can be used by scholars, policy makers, advocates, and the public to conduct preliminary evaluations of proposed firearms policies before they become law. The utility of the framework is then demonstrated with an evaluation of the 2020 assault-style weapons ban in Canada, which includes a systematic scoping review of the literature on the impact of assault-weapons bans.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.911
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.057
GPT teacher head0.378
Teacher spread0.321 · 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