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Record W4402746246 · doi:10.1007/978-3-031-67833-2_3

“The Splendor and Miseries”: The Voice of a Real Person

2024· book-chapter· en· W4402746246 on OpenAlexaff
Irina Isaakyan

Bibliographic record

VenueIMISCOE research series · 2024
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsComputer scienceCommunicationSpeech recognitionPsychology

Abstract

fetched live from OpenAlex

Abstract It was argued Chap. 1 that the constrained agency of elite migrant-artists has been an under-researched area. This means that there are, in fact, many unanswered provocative questions about the life and work of global elite migrants. While they belong to the category of informants whom scholars view as ‘challenging’. They are highly visible, dependent on their networks and, therefore extremely vulnerable because of their potential exposure to the public and also because of severe network sanctions. They are both privileged and vulnerable. And as noted by the famous French novelist of the nineteenth century Honoré de Balzac, it is not easy to describe in one word ‘the splendor and miseries’ of someone so controversial. Therefore, the question that I would like to ask in this chapter is what would be the best way to study the lives of global elite migrants and the ontogenesis of their migrant agency with the purpose to make their voices heard and their ‘splendors and miseries’ visible. What would be the best way to think about them as professionals, migrants and real people, with all their social skills, ambitions, moments of success but also fears and insecurity? The answer is interpretive biography. Here in this chapter, I, therefore, introduce the method of interpretive biography, explain its nuances and analytical procedures, and justify its application to my case.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.889
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
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 head0.088
GPT teacher head0.393
Teacher spread0.305 · 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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