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Record W4415073544 · doi:10.1111/anoc.70017

Haunted Care: Engaging Health Hauntology to Understand Health Citizenship in Evolving Welfare States

2025· article· en· W4415073544 on OpenAlex
Anna Horton

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnthropology of Consciousness · 2025
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsMcGill University
Fundersnot available
KeywordsCitizenshipCognitive dissonanceHealth careWelfare stateWelfareNational identityIdentity (music)

Abstract

fetched live from OpenAlex

ABSTRACT This paper applies a hauntological framework to explore how health citizenship in the UK is shaped by the spectral presence of neoliberal policies, particularly through increased use of Public‐Private Partnerships (PPPs) in the United Kingdom's National Health Service (NHS). The NHS is considered a keystone of national identity in the UK on account of its core socialist and humanitarian principles. However, decades of neoliberal policies, and particularly the growing implementation of PPPs, have created increased dissonance between the NHS as ideation and the NHS as a material, place‐based health service. I explore how these changes manifest in my father's experiences of a Continuous Glucose Monitor (CGM), considering the spectral significance of the systemic relationships, care pathways, collective imaginaries, and vital functions that are folded into this object, and by extension my father's health citizenship. Assembling hauntological concepts and healthcare experiences, I explore how the CGM mediates between life, care, and industry to illuminate evolving forms of health citizenship in contemporary welfare health systems.

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.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.420
Teacher spread0.390 · 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