MétaCan
Menu
Back to cohort

Educational pathways and decisions – Comparing the returns of investment in Germany and Canada

2017· article· en· W2804362617 on OpenAlexaboutno aff
Silvia Annen, Michael Tiemann

Bibliographic record

VenueInternational Journal of Technology and Inclusive Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsInvestment (military)BusinessEconomicsDemographic economicsLabour economicsPolitical science

Abstract

fetched live from OpenAlex

The presented results derive from a project which focuses on the competition between vocational and higher education.Within the project qualification and skill utilization of the respective educational programmes shall be evaluated with regard to occupational status and positions as well as income.The research concept contains curricula and vacancies analyses, case studies and a quantitative survey.The theoretical background is formed by the signaling and screening approach as well as the segmentation theory. This paper analyses data from the qualification and career survey of 2011/2012 and focuses on employees' income. From an individual perspective the monetary outcomes of persons with equivalent qualifications are compared. Equivalence of qualifications refers to the German National Qualification Framework (GQF). To find comparable occupational positions the national classification of occupations which includes information on qualificational requirements is used.The results are compared with respective data from Canada.

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)0.001
metaresearch head score (Gemma)0.005
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.475

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.019
GPT teacher head0.341
Teacher spread0.323 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Technology and Inclusive EducationSame topicYouth Education and Societal DynamicsFrench-language works237,207