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Record W4281767293 · doi:10.1111/capa.12458

The Canadian Impact Assessment Act and intersectional analysis: Exaggerated tensions, fierce resistance, little understanding

2022· article· en· W4281767293 on OpenAlexaffabout
Susan Manning, Leah Levac

Bibliographic record

VenueCanadian Public Administration · 2022
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsUniversity of GuelphDalhousie University
Fundersnot available
KeywordsMainstreamingGender mainstreamingLegislatureIntersectionalityLegislationInvisibilityPolitical scienceResistance (ecology)Public administrationInclusion (mineral)Legislative processResource (disambiguation)SociologyLawGender studiesGender equality

Abstract

fetched live from OpenAlex

Abstract Canada's newly adopted Impact Assessment Act requires gender‐based analysis plus (GBA+)—a type of intersectionality mainstreaming—as part of assessing the impacts of resource projects. This explicit inclusion of a GBA+ requirement in legislation for the first time represents an important advance in Canada's commitments to mainstreaming, and one that offers an opportunity to examine how interested policy actors both enable and challenge mainstreaming commitments in the legislative sphere. We consider what the compound problem of invisibility and resistance in the legislative process means for ongoing efforts to advance intersectional policymaking and strengthen mainstreaming in Canada and other western democracies.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0050.000
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.219
GPT teacher head0.457
Teacher spread0.238 · 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 designObservational
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

Citations3
Published2022
Admission routes2
Has abstractyes

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