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Record W4285494628 · doi:10.1108/oxan-db271448

Gun regulation in Canada is becoming more contentious

2022· other· en· W4285494628 on OpenAlexaboutno aff

Bibliographic record

VenueEmerald expert briefings · 2022
Typeother
Languageen
FieldSocial Sciences
TopicGun Ownership and Violence Research
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaPolitical scienceGun violenceViolent crimeBusinessLawCriminologySuicide preventionPoison controlGeographySociologyMedicineEnvironmental health

Abstract

fetched live from OpenAlex

Significance Trudeau has introduced a number of measures since Canada’s worst mass shooting in 2020, when 22 people were killed in Nova Scotia. His latest move, which freezes the sale, transfer and importing of handguns, came in the wake of the shooting of 19 children at a school in Uvalde, Texas on May 24. Impacts The latest measures affect legal gun ownership but will not address the rise in access to illegal firearms. States that have fractious relations with Ottawa, notably Alberta and Saskatchewan, will object to yet more gun restrictions. Conservative leadership candidates will use Liberal gun ownership restrictions to raise funds from rural supporters. Conservatives may campaign on loosening some ownership restrictions at the next election, but are not likely to include handguns.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.494
Threshold uncertainty score0.948

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0530.000

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 head0.043
GPT teacher head0.335
Teacher spread0.292 · 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 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
Published2022
Admission routes1
Has abstractyes

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