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Record W91367115 · doi:10.7264/n3r49nqv

A Curious Doubled Existence: Birth Here and in Lois McMaster Bujold’s Vorkosigan Saga

2013· article· en· W91367115 on OpenAlexfundno aff
Lucy Baker

Bibliographic record

VenueScholars' Bank (University of Oregon) · 2013
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
FundersMcMaster University
KeywordsDepictionNatural (archaeology)Intervention (counseling)SociologyPsychoanalysisPsychologyAestheticsEnvironmental ethicsHistoryLiteratureArtPhilosophy

Abstract

fetched live from OpenAlex

Lois McMaster Bujold's science fiction (SF) relies on the symbiotic relationship between the technological and the social. This is often illustrated by the tension between the scientific and medicalized process of reproduction (via uterine replicators, cloning, and genetic modification) and the primal, 'natural' process. Varied levels of technological advancement and associated societal changes across the myriad planets within her SF universe allow Bujold to structure this tension as an emotional and social process as much as a medical or obstetrical one, while maintaining a respect for the choices, risks, and vulnerabilities involved in becoming pregnant. Contrasting the experiences of three births depicted within the series--Cordelia Naismith and her son Miles Vorkosigan; Alys Vorpatril and her son Ivan; Ekaterin Vorsoisson and the simultaneously replicator-gestated 'twins' Helen and Aral Vorkosigan--allows us to situate Bujold's explorations within our contemporary discussions around birth choices, technology and medical interventions developed over the past 30 years. Her depiction of medical intervention and the experience of pregnancy offers a philosophy to integrate the technological and the natural, manifesting a socio-cultural experience that does more than simply extrapolate from existing technological advances.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.652

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 communication0.0000.001
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 head0.020
GPT teacher head0.232
Teacher spread0.212 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

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