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Record W3042355298 · doi:10.7202/1070341ar

Managing Morality and Building “Balance”: Depoliticisation as Management in Canada’s Federal Response to R. v. Morgentaler

2020· article· en· W3042355298 on OpenAlexvenueaboutno aff
Rebecca Vachon

Bibliographic record

VenueRevue Gouvernance · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Economic history of UK and US
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationSupreme courtLawGovernment (linguistics)ParliamentPolitical sciencePublic administrationAbortionLaw and economicsSociologyPolitics

Abstract

fetched live from OpenAlex

In 1988, Canada’s federal Parliament faced the challenge of addressing the legal status of abortion after the Supreme Court of Canada, in R. v. Morgentaler , struck down existing restrictions. In the resulting legal void, the Progressive Conservative (PC) federal government found itself under pressure to act. Examining parliamentary debates and recently released cabinet documents from the period of January 1988 to May 1990, this paper asks how the federal government managed the abortion issue following R. v. Morgentaler , including creating and defending legislation as a policy solution. This paper identifies politicising and depoliticising procedures (i.e., legislation and motions) that framed the issue in a way that that allowed the government to take action on the abortion issue while maintaining distance as it crafted and defended legislation. This paper reconstructs the frames that presented government legislation (Bill C-43) as “balanced” and uses the theoretical concepts of politicisation and depoliticisation to show how the frames alternately pushed and pulled the government towards and away from the abortion issue. These frames worked by deferring responsibility to other levels of government and the private sphere, as well as by invoking fatalism by highlighting the intransigency of abortion, the constraints that limit government action, and the necessity of pursuing only the government’s proposed solution. Although the frames serve to justify the frame of a “balanced” solution, their inherent contradictions and tensions point to fractures within the narrative of Bill C-43 as a “balanced” solution and may help explain the legislation’s failure.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.513
Threshold uncertainty score0.329

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)0.0000.000

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 head0.026
GPT teacher head0.265
Teacher spread0.240 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2020
Admission routes2
Has abstractyes

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