MétaCan
Menu
Back to cohort
Record W1982456670 · doi:10.1108/ijssp-03-2013-0034

It is a scandal!

2014· article· en· W1982456670 on OpenAlexaffabout
Liz Lloyd, Albert Banerjee, Charlene Harrington, Frode F. Jacobsen, Marta Szebehely

Bibliographic record

VenueInternational Journal of Sociology and Social Policy · 2014
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsYork University
FundersEconomic and Social Research Council
KeywordsOriginalityJurisdictionPublic relationsValue (mathematics)Government (linguistics)PoliticsAction (physics)SociologyPolitical scienceQualitative researchLawSocial science

Abstract

fetched live from OpenAlex

Purpose – This study aims to explore the causes and consequences of media scandals involving nursing homes for older persons in Canada, Norway, Sweden, the UK and the USA. Design/methodology/approach – This study uses a descriptive case-study methodology which provides an in-depth, focused, qualitative analysis of one selected nursing home scandal in each jurisdiction. Scandals were selected on the basis of being substantive enough to potentially affect policy. An international comparative perspective was adopted to consider whether and how different social, political and economic contexts might shape scandals and their consequences. Findings – This study found that for-profit residential care provision as well as international trends in the ownership and financing of nursing homes were factors in the emergence of all media scandals, as was investigative reporting and a lack of consensus around the role of the state in the delivery of residential care. All scandals resulted in government action but such action generally avoided addressing underlying structural conditions. Research limitations/implications – This study examines only the short-term effects of five media scandals. Originality/value – While there has been longstanding recognition of the importance of scandals to the development of residential care policy, there have been few studies that have systematically examined the causes and consequences of such scandals. This paper contributes to a research agenda that more fully considers the media's role in the development of residential care policy, attending to both its promises and shortcomings.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.040
GPT teacher head0.464
Teacher spread0.423 · 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 designNot applicable
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

Citations77
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Sociology and Social PolicySame topicGeriatric Care and Nursing HomesFrench-language works237,207