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Record W7133459711

The Bridge

2020· dissertation· W7133459711 on OpenAlexaboutno aff
Huong Thao Thai

Bibliographic record

VenueSUNY Digital Repository Support (State University of New York System) · 2020
Typedissertation
Language
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsDoorsBridge (graph theory)Possession (linguistics)Study abroadCountryGovernment (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

There is a noticeable increase in the demand for studying abroad in Vietnam. In many developed countries like the USA, Australia, Canada, and Japan, Vietnam is in the top 10 places of origin for international students. More specifically, according to the 2019 Open Doors Report, Vietnam ranks sixth among the leading places of origin for international students in the US (IIE, n.d). In his article published on VnExpress websites, Nguyen Quy claimed that in 2018 Vietnam had taken the sole possession of fifth place among countries sending international students to Canada. In the past, Vietnam shared the spot with the US. However, in 2018, Vietnam surpassed America with 20,330 students studying in Canada (Nguyen, 2019). Accompanying this growing interest is the growing number of studying abroad consulting firms. However, many of those are frauds. On the news recently, there are numerous reports on consulting firms making fake college communications and admissions letters to scam money.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.306
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.000
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 head0.024
GPT teacher head0.251
Teacher spread0.227 · 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 teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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
Published2020
Admission routes1
Has abstractyes

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