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Record W7028563575

Genetic disorder as metaphor and the construction of the abnormal self

2015· dissertation· en· W7028563575 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2015
Typedissertation
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchYale University
KeywordsMetaphorNarrativeBioethicsCognition
DOInot available

Abstract

fetched live from OpenAlex

Narrative ethics is particularly important in examining and improving the experience of patients with genetic disorders.Such an exercise includes careful consideration of the figures of speech that influence people's beliefs and actions, including the metaphors which have arisen to help convey the semi-abstract nature of the gene.This thesis examines the development of genetic metaphors over the course of the 20 th century, noting the significance of particular representations of genetics like those of virus, language, lottery and soul.Based on these findings, metaphors of genetic disorder are characterized into the opposing conceptions of "genetic disorder versus self" as independent entities and "genetic disorder as self" as a characteristic of one's identity.Each of these categories of metaphor carries its own unique bioethical consequences.Finally, this thesis discusses recommendations for influencing the future development of these metaphors and the practicality of such plans. RsumL'thique narrative est particulirement importante dans l'examen et l'amlioration des expriences des patients avec des troubles gntiques.Cette examen doit inclure une tude I would like to thank my co-supervisors, Profs.Yann Joly and

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.740
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
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 head0.014
GPT teacher head0.221
Teacher spread0.207 · 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.

Study designTheoretical or conceptual
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

Citations0
Published2015
Admission routes1
Has abstractyes

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