MétaCan
Menu
Back to cohort
Record W2503317603 · doi:10.1057/9781403920188_9

Internationalisation of Japanese Manufacturing Firms and the Relative Demand for Skilled Labour

2002· book-chapter· en· W2503317603 on OpenAlexaff
Keith Head, John Ries

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2002
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMultinational corporationInternationalizationLabour economicsBusinessProduction (economics)WageProduct (mathematics)Demographic economicsEconomicsInternational trade

Abstract

fetched live from OpenAlex

Thirty years ago Japanese firms concentrated almost all of their production in Japan. Since then, firms such as Sony and Toyota have joined the list of the world’s best-known multinational enterprises. Data on 1,052 Japanese manufacturing firms show that the overseas worker share of total employment rose from 5 per cent in 1970 to 30 per cent in 1989. Over the corresponding period, the nonproduction worker share of the wage bill for the median firm increased from 21 to 31 per cent. These figures suggest that the international activities of Japanese multinational enterprises (MNEs) shifted demand for labour in Japan towards nonproduction workers (including managers, product designers, and marketers) and away from less-skilled production workers. If true, one possible consequence would be increased wage inequality in Japan.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.024
GPT teacher head0.261
Teacher spread0.236 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

Explore more

Same venuePalgrave Macmillan UK eBooksSame topicMigration, Ethnicity, and EconomyFrench-language works237,207