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Record W3024858559 · doi:10.14515/monitoring.2018.6.13

Migration Studies at the XIX ISA World Congress of Sociology

2018· article· en· W3024858559 on OpenAlex
Alexander V. Tavrovskiy

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMonitoring obŝestvennogo mneniâ: èkonomičeskie i socialʹnye peremeny · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
FundersRussian Science Foundation
KeywordsSociologyAnthropologyRegional scienceEconomic historyHistory

Abstract

fetched live from OpenAlex

The following is a brief overview of selected topics and research agendas in migration studies presented at the XIX ISA World Congress of Sociology (July 15-21, 2018, Toronto, Canada). Migration studies occupied a prominent place at the Toronto Congress: More than 100 sessions (out of app. 1000) with more than 500 presentations were directly related to the issues of migration. They overwhelmingly concerned transnational migration in all its diversity. To provide even a cursory overview of this rich material is practically impossible. However, an attempt at presenting several salient topics and research agendas is worth making. This overview will focus on new concepts and research agendas in migration studies, on forced displacement, and on privileged migration.
 Аcknowledgements. This publication was supported by the Russian Science Foundation, Project No 16-18-10092 “Social risks of the international youth migration in contemporary Russia”.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.079
GPT teacher head0.388
Teacher spread0.310 · 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