MétaCan
Menu
Back to cohort

School-to-Work Transitions in Emerging Adulthood

2014· book· en· W2486932751 on OpenAlexaff
E. Anne Marshall, Kathryn M. Butler

Bibliographic record

VenueOxford University Press eBooks · 2014
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsDisadvantagedGlobalizationWorkforceSchool-to-work transitionImmigrationWork (physics)Flexibility (engineering)Context (archaeology)Political sciencePublic relationsSociologyPsychologyPedagogyManagementGeographyEngineeringEconomics

Abstract

fetched live from OpenAlex

For emerging adults, embarking on a career is both exciting and daunting—social changes and globalization have yielded increasing opportunities together with increasing challenges. Planning and flexibility are essential for success. In this chapter, the authors examine how these changes have impacted educational and work transitions, beginning with a broad snapshot of workforce participation, followed by a discussion of globalization effects and labor market shifts. Relational and family influences are seen to be influential in the context of work and career decisions. They identify several issues of particular significance to emerging adults, such as rapid societal change, cultural influences, work expectations, and increasing demands for knowledge and skills. New pathways to work are described, along with the transitions experienced among special populations such as the economically disadvantaged, immigrants, and international students. Current research illuminates these opportunities and challenges and emphasizes the need for culturally appropriate and meaningful transition supports.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
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 head0.014
GPT teacher head0.191
Teacher spread0.178 · 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 designObservational
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

Citations46
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueOxford University Press eBooksSame topicFamily Business Performance and SuccessionFrench-language works237,207