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Mobilidade Geográfica e Carreira: jovens universitários que querem se inserir no mercado de trabalho canadense

2020· article· pt· W3095347007 on OpenAlex

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

VenueInterfaces Brasil/Canadá · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicMigration, Racism, and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyArt

Abstract

fetched live from OpenAlex

O fenômeno da mundialização proporciona mobilidade geográfica e novas oportunidades para jovens que buscam experiências de carreira intercultural. A internacionalização das organizações promove uma demanda ampliada no mercado de trabalho por profissionais competentes e qualificados em todos os sentidos. Este estudo articula os temas mobilidade geográfica, carreira e mercado de trabalho canadense, através de entrevistas com estudantes estrangeiros da Concordia University of Edmonton, na província de Alberta/Canadá, realizadas no ano de 2018. As categorias de análise abordaram duas categorias: (a) intenções, anseios e dificuldades; e, (b) motivos para inserção profissional em pais estrangeiro, no caso o Canadá. Os principais achados da pesquisa indicam que o estudante estrangeiro está mais habituado a lidar e a enfrentar culturas e situações diferentes das suas de uma maneira mais fácil que o brasileiro. O que se pode observar é que todos anseiam crescimento educacional e profissional, ampliar networking, adquirir maior fluência no outro idioma e dar início à sua carreira, mesmo que comecem exercendo funções diferentes da sua área de estudo.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.041
GPT teacher head0.287
Teacher spread0.246 · 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