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Record W122799673

Political identities, presumed definitions, and protean portrayals: representations of the public-private healthcare debate in Canadian print media

2009· dissertation· en· W122799673 on OpenAlexfundaboutno aff
Samantha Lynn Biggs

Bibliographic record

VenueSummit (Simon Fraser University) · 2009
Typedissertation
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsnot available
FundersSimon Fraser University
KeywordsPoliticsPrint mediaPolitical scienceMedia studiesPublic relationsIdentity (music)Public administrationSociologyLawNewspaperArtAesthetics
DOInot available

Abstract

fetched live from OpenAlex

The Canadian debate over public versus private delivery and financing of healthcare has been extensively represented in the news media and is an important issue to the public and policymakers. News media has complex and varied influences on its audiences including informing the public and potentially influencing the policy debate. This study explores the representation of the public-private healthcare debate in three Canadian newspapers over time. Using constructed-week sampling, I selected articles published between September 3, 1985 and February 23, 2009 containing search words related to the debate. I coded articles for content, agenda setting, and framing characteristics. The public-private debate was predominantly represented as a political issue and privatization was framed negatively. The agenda setting potential of the articles suggested a potential duality in the role of news media as potential agenda setters and communication agents for the policy debate.

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)0.006
metaresearch head score (Gemma)0.027
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score0.410

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0110.012
Science and technology studies0.0200.014
Scholarly communication0.0160.004
Open science0.0010.004
Research integrity0.0020.003
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 head0.047
GPT teacher head0.251
Teacher spread0.203 · 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 routes2
Has abstractyes

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