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Record W7099747181

The Eastward Shift of Computer Hardware Production:

2005· article· en· W7099747181 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Industrial and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsTriad (sociology)Western europeComponent (thermodynamics)ChartEast AsiaService (business)Middle East
DOInot available

Abstract

fetched live from OpenAlex

Computer and component assembly operations tend to service each of the triad markets (the Americas, Asia and EMEA – Europe, the Middle East and Africa) from locations within each triad. Over the course of the 1990s, assembly shifted to lowercost locations within each triad region. Within the Americas, operations shifted from the US and Canada to Mexico. In Asia they shifted from Japan to Singapore and in Europe from the richer core countries to the Western EU periphery of Ireland and Scotland. Two thirds of all computers sold in Europe in the 1990s were assembled in either Ireland or Scotland. More recently the sector has been shifting again. In Asia the shift has been from Singapore to lower-cost economies such as Thailand, Malaysia and the Philippines. In Europe the shift has been from Scotland and Ireland to Central and Eastern Europe. Electronics component production, meanwhile, has also been shifting eastwards – primarily to Asia. The purpose of the present paper is to chart how Ireland adjusted as computer hardware jobs shifted abroad. Contact details:

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.858
Threshold uncertainty score0.534

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.032
GPT teacher head0.262
Teacher spread0.230 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2005
Admission routes1
Has abstractyes

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