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Record W1994264880 · doi:10.1080/14636770220122764

Between tradition and innovation in new genetics: The continuity of medical pedigrees and the development of combination work in the case of Huntington's disease

2002· article· en· W1994264880 on OpenAlexfundno aff
Yoshio Nukaga

Bibliographic record

VenueNew Genetics and Society · 2002
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsnot available
FundersGovernment of Canada
KeywordsPedigree chartMedical geneticsNoveltyDialecticIntersection (aeronautics)GeneticsData sciencePsychologyBiologyComputer scienceEpistemologyEngineering

Abstract

fetched live from OpenAlex

An extensive discussion is currently under way regarding the novelty of the 'new genetics'. Although a linear model of innovation shows the new genetics as a technology transfer from biology to medicine, an intersection model suggests the new genetics as a bi-dialectical exchange between biology and medicine. The purpose of this paper is to articulate the role of clinical tools from the viewpoint of an intersection model. This paper traces how medical pedigrees (i.e. visual tools used to transcribe family information) have been standardized by genetic counsellors in clinical settings, and subsequently combined with other biomedical inscriptions. The findings demonstrate that development of new genetics was facilitated not only by the introduction of molecular technologies, but also by their use in combination with medical pedigrees. In this manner, clinical practitioners, laboratory workers and lay support group members have collaborated in order to mobilize genealogical information and organic materials as biomedical properties.

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 score0.369
Threshold uncertainty score0.233

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 head0.053
GPT teacher head0.284
Teacher spread0.231 · 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

Citations32
Published2002
Admission routes1
Has abstractyes

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