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Record W2083065230 · doi:10.1080/1463677042000237071

Genes and geneticization? The social construction of autosomal dominant polycystic kidney disease

2004· article· en· W2083065230 on OpenAlexaff
Susan Cox, Rosalie Starzomski

Bibliographic record

VenueNew Genetics and Society · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and Kidney Cyst Diseases
Canadian institutionsVancouver Hospital and Health Sciences CentreUniversity of VictoriaUniversity of British Columbia
Fundersnot available
KeywordsDiseaseContext (archaeology)Polycystic kidney diseaseAutosomal dominant polycystic kidney diseaseQualitative researchMedicineGeneticsPathologyBiologySociologySocial science

Abstract

fetched live from OpenAlex

Critics of the new genetics argue that contemporary understandings of health and illness are becoming increasingly 'geneticized.' Salient implications of this critique are explored here within the context of Autosomal Dominant Polycystic Kidney Disease (PKD), a life-threatening genetic disease that causes fluid-filled cysts in the kidneys and progressive loss of renal function. Although PKD is very common, public awareness of the disease remains low and there is little clinical emphasis on hereditary aspects. Drawing upon qualitative interviews with 16 healthcare providers, 13 patients and 15 family members, this paper examines the social construction and clinical management of PKD. In particular, interviewees' perceptions of the role of genetics in PKD and views on presymptomatic testing are considered. Finding little impetus toward early diagnosis and/or presymptomatic identification of mutation carriers, we conclude that careful empirical study of PKD (or other neglected hereditary conditions) contributes new insights into factors mitigating geneticization.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.006
GPT teacher head0.232
Teacher spread0.226 · 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 designBench or experimental
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

Citations36
Published2004
Admission routes1
Has abstractyes

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