MétaCan
Menu
Back to cohort
Record W263684723

Questions of Right and Left or Right and Wrong: A Disability-Ethics Analysis of the Right-Wing and Left-Wing Media Portrayals of the Latimer Case.

2009· article· en· W263684723 on OpenAlexaboutno aff
Heidi Janz, Sally Hayward

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNormativeReverenceSociologyPraxisPoliticsRight wingLawAestheticsPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

This paper examines the right and left wing media coverage of the Robert Latimer case, arguing that, in particular, the leftwing progressive portrayal of this case not only creates a “preferred version and vision of social order” (Ericson, Baranek, & Chan,1991, p. 4), but also affirms a utilitarian ethics and a normative framework of reference that can be used in the courts of law to argue for the voluntary and, more importantly, the nonvoluntary euthanasia of “defective” and “deformed” individuals. We further argue that publications of the religious right, most notably Alberta Report, have countered this normative framework of utilitarian ethics by consistently providing space for Tracy Latimer’s story to be told. We conclude this paper with consideration of an alternative ethics that develops Paul Woodruff’s call for a politics and practice of reverence, a secular, as opposed to a religious, praxis that is inclusive and appreciative of all human difference.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0140.027
Scholarly communication0.0090.006
Open science0.0010.005
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.036
GPT teacher head0.338
Teacher spread0.302 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2009
Admission routes1
Has abstractyes

Explore more

Same topicMulticultural Socio-Legal StudiesFrench-language works237,207