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Record W3167406552 · doi:10.15826/umpa.2021.01.009

Transformation of the States’ Academic Attractiveness under the Pandemic

2021· article· en· W3167406552 on OpenAlex
Larisa Taradina, Anastasia E. Shlentova, Andrey A. Ivashkevich

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

VenueUniversity Management Practice and Analysis · 2021
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsAttractivenessPandemicPoliticsPolitical scienceCompetition (biology)PerceptionEconomic growthCoronavirus disease 2019 (COVID-19)Public relationsPsychologyEconomicsLaw

Abstract

fetched live from OpenAlex

This conceptual article aims at analyzing the impact of political and economic actions taken by states during the first wave of COVID-19 pandemic on their academic attractiveness for international students. The resulting crisis conditions demanded to make a lot of decisions in a very short time, thus speeding up the dynamic of the situation development and allowing to more accurately trace necessary interconnections over a short observation period.The authors focus their attention on English-speaking countries, which traditionally attract large numbers of international students: Australia, Canada, the United Kingdom and the USA. The research is based on the analysis of secondary empirical data obtained from foreign sources, as well as on official statistics. The short-term impact of political and economic decisions, made by heads of states and responsible institutions, on countries’ academic attractiveness and their perception by international students is assessed via critical and reflective analysis of surveys and researches, as well as via available data on international students’ enrollment in 2020/2021 academic year.The authors found a correlation between the decisions taken by the countries during Spring – Summer 2020 and the subsequent transformation of their academic attractiveness under the increasing competition between countries and the students’ choice of the best opportunities for their future career and life. The authors assessed the following factors affecting the attractiveness of a state as a studying destination: economic support measures taken by the governments of the considered countries during the first wave of the COVID-19 pandemic, new adjustments in visa rules for foreign students and related regulatory changes, as well as the most significant public statements by officials. The research topic can be further expanded and supplemented through data actualization, including additional factors into the analysis and expanding the time period of the study. The findings and recommendations given in the conclusion of the article can be practically applied when developing state education export strategies or universities’ and educational agencies’ recruiting approaches.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.972
Threshold uncertainty score0.166

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.030
GPT teacher head0.281
Teacher spread0.250 · 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