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Record W3199589704 · doi:10.3167/asp.2021.150105

Cosmonaut Gossip

2021· article· en· W3199589704 on OpenAlexafffund
Erica L. Fraser, Kateryna Tonkykh

Bibliographic record

VenueAspasia · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsCarleton University
FundersUniversity of TorontoUniversity of BernUniversity of Ottawa
KeywordsGossipEliteMoralityCommunismReading (process)Public spaceSpace (punctuation)Media studiesSociologySocialismPolitical scienceLawAestheticsEngineeringArtComputer science

Abstract

fetched live from OpenAlex

The diaries of Nikolai P. Kamanin, a well-placed official in the early Soviet space program in charge of cosmonaut selection and chaperoning, have been an important source for historians since their publication in the 1990s. This article reevaluates the diary entries from 1961 to 1965, using the framework of gossip. The diaries’ salacious tales of infidelity, drinking, and other violations of communist morality provide cultural historians with as much insightful material as the parallel technological entries have done for historians of science and space engineering. The cosmonaut gossip that Kamanin records comprised a mix of knowledge production and moralizing that built and reinforced his self-fashioning among the Soviet elite. Furthermore, reading the diaries (a private text) through the lens of gossip (a public act) helps us see how socialist masculinity was forged in part through the specific hybridized private-public performances required of elite men.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.021
GPT teacher head0.311
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2021
Admission routes2
Has abstractyes

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