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Record W4402744902 · doi:10.1007/978-3-031-67833-2_6

Homeland Gravity: The Local, the National and the Global

2024· book-chapter· en· W4402744902 on OpenAlexaff
Irina Isaakyan

Bibliographic record

VenueIMISCOE research series · 2024
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsHomelandHomeland securityPolitical scienceGeographyGeodesyArchaeologyLaw

Abstract

fetched live from OpenAlex

Abstract In 1960, the world of classic music was witnessing a very strong inter-galactic interaction between the two famous theaters: La Scala and Bolshoi were signing a previously unimaginable pact on the perennial exchange of opera singers and ballet dancers. As a result, a new star generation of Soviet singers and Italian dancers was trained in the herein established inter-galactic stellar nursery throughout the 1960–1980s (Schwartz, 1983). One of them was Maria Bieșu. Originally from a small Moldavian village, Bieșu had started her vocal career in the republic of Moldova before she was selected for the two-year internship in La Scala in 1965 (Vdovina, 1984). It was the turning point in her career, which began escalating upon her repatriation in 1967 and immediate promotion to lead dramatic soprano at Bolshoi. Nostalgic for Italy and feeling sad about the inability to live there, Bieșu was, nevertheless, happy with her Soviet career, rejecting many emigration offers from the West (ibid; Rusakova, 2012). Although her stardom was decades before the era of global elite migrations, she could have indeed become a migrant, seeking political asylum and joining the émigré dissent, if she had wished so. As a star of the Bolshoi, she frequently participated in its tours to Europe and America throughout the 1970–80s, yet always returning to Moscow without a moment of hesitation. In one of her post-Soviet interviews to the press, she noted that she would have never left the Soviet Union for any other country (ibid). As she further explained, the reason for her patriotism had been not her fear of the KGB but the rich symbolism of the Bolshoi, embodying her grand social mobility from peasant to national opera supergiant: “My homeland was always the Soviet Union”, she proudly concluded (ibid).

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.557
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.008
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.404
Teacher spread0.340 · 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; both teacher heads agree on what is shown here.

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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