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Record W4402746092 · doi:10.1007/978-3-031-67833-2_8

The Cosmic Iceberg of Integration

2024· book-chapter· en· W4402746092 on OpenAlexaff
Irina Isaakyan

Bibliographic record

VenueIMISCOE research series · 2024
Typebook-chapter
Languageen
FieldPhysics and Astronomy
TopicCosmology and Gravitation Theories
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsCOSMIC cancer databaseIcebergAstrophysicsPhysicsAstronomyAstrobiologyMeteorologySea ice

Abstract

fetched live from OpenAlex

Abstract For more than twenty years, the Russian opera diva Anna Netrebko was leading an iconic transnational life, working in most prestigious theaters all over the world and living between her three luxurious homes in St Petersburg, Vienna and New York. In all her social media, she was advertising this lifestyle as highly enjoyable and enriching. She was stressing how much at home she was feeling both in the West and in Russia, advocating a cultural mix of Russian and European dressing styles and life habits (Mattison, 2005; LIFE, 2022). She became an embodiment of the mass media fairytale about a transnationally (and even supra-nationally) integrated cosmopolitan with the Cinderella roots, who lives as if above the state while also in every state of her professional membership (Smirnova, 2022). And when the global world started to break apart in the milieu of the post-2022 geopolitics, Netrebko firmly declared that she would stay above the politics, still hoping to be integrated in every national culture as she always used to be (Netrebko, 2022). To her great surprise, this cosmopolitan membership was suddenly interrupted by the political loyalty requirement at both ends. And Netrebko found herself sidelined first in the global opera industry because of her political neutrality, and then in Russian culture because of her attempt to restore the disrupted European career (KP.RU, 2023). This example shows how easily super giant stars can be thrown down from the sky, and leads us to look into a rather tragic story of their integration. Netrebko’s de-idolization was perceived by my informants as ‘the end of something’—not exactly the end of their careers but the end of something that had been keeping their work and lives together: they were ‘perplexed and disoriented by the loss of something precious that was running away’ from them. They clearly saw their ‘own lives getting out of control’ until they started to see that this ‘pivotal something’ was actually their integration.

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.023
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0120.049
Scholarly communication0.0230.023
Open science0.0010.018
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0150.002

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 head0.037
GPT teacher head0.353
Teacher spread0.316 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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