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Record W3135779203

Analyzing the Communication Methods of Crisis Pregnancy Centres: A Conventional Content Analysis

2020· article· en· W3135779203 on OpenAlexaboutno aff
Alexandra Murdoch

Bibliographic record

VenueScholarship@Western (Western University) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsnot available
Fundersnot available
KeywordsContent analysisComputer sciencePregnancyCrisis communicationPolitical sciencePublic relationsSociology
DOInot available

Abstract

fetched live from OpenAlex

Crisis Pregnancy Centers (CPCs) are nonprofit, non-medical facilities that advise pregnant women against abortion. This project analyzes the visual and verbal strategies that CPCs employ in their website communications that are directed at the general public, and how these strategies vary between three diverse locations. Using a conventional content analysis and a critical feminist and intersectional framework, this study examines three websites of CPCs in Ontario to understand how they attract clients. An analysis of the data shows that the CPCs are religiously affiliated, that they appeal not only to women but also to students, men, and in some cases, newcomers to Canada, and how they are doing so. The results also show that CPCs associate abortion with negative mental health outcomes. These results are important for health policy as they highlight policy loopholes that allow CPCs to disseminate harmful and deceptive health information.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.221
GPT teacher head0.399
Teacher spread0.178 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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