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Record W4225309475 · doi:10.1177/08948453221094309

From Near and Afar: International Secondary School Students’ Career Influences

2022· article· en· W4225309475 on OpenAlexaff
Nancy Arthur, Danni Lei, Jon Woodend

Bibliographic record

VenueJournal of Career Development · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsUniversity of VictoriaUniversity of Calgary
Fundersnot available
KeywordsCareer PathwaysContext (archaeology)Career developmentPsychologyInternational schoolPedagogyInternational educationMedical educationHigher educationPolitical scienceMedicine

Abstract

fetched live from OpenAlex

During the previous decade, growth in the numbers of internationally mobile students included international high school students. Prior research on international students’ career development in higher education may not account for the unique context of younger international students in secondary schools. The current study investigated career influences for international secondary students, using the Systems Theory Framework ( Patton & McMahon, 2021 ). International students in senior years completed written, open-ended surveys and in-person interviews regarding their career aspirations, plans and key influences on their decision-making. International student coordinators and school staff also offered their perspectives about these influences. Results indicate the inter-related systemic influences of individuals, significant relationships, location and country contexts, the secondary school environment, and perceived characteristics of occupations and future career pathways. Implications for supporting international high school students in the school setting and future research directions are discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.001
Scholarly communication0.0050.001
Open science0.0000.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.034
GPT teacher head0.314
Teacher spread0.281 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2022
Admission routes1
Has abstractyes

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