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Record W7074678413

Foreign Investment in New Zealand Manufacturing

2009· article· en· W7074678413 on OpenAlexaboutno aff

Bibliographic record

VenueResearchArchive–Te Puna Rangahau (Victoria University of Wellington) · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIgnoranceCapital (architecture)Investment (military)Factory (object-oriented programming)Foreign direct investmentEconomic shortageQuarter (Canadian coin)Retained earningsBalance (ability)
DOInot available

Abstract

fetched live from OpenAlex

While there is no shortage of personal opinion on the subject of foreign investment in New Zealand it is nevertheless an outstanding example of poor documentation. The outcome of such a situation is all too often grossly misinformed opinion. Misunderstanding occurs by no means solely because of a lack of knowledge of basic facts. It extends also to considerable confusion surrounding the likely theoretical effects on the economy of a foreign capital inflow. This is especially true of overseas investment in New Zealand's manufacturing industry, and perhaps doubly unfortunate in view of the increasing importance of the sector. Over one quarter of the country's total 1963-64 factory output was attributable to companies with substantial foreign financial affiliations. In the same year, they accounted for 20 per cent of the total factory employment, and 5 per cent of the total number of establishments. Yet prior to this study there was complete ignorance of facts of this type. Apart from information on capital flows and income accruals as they affected the balance of payments, detailed empirical evidence simply did not exist.

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)0.002
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 score0.269
Threshold uncertainty score0.535

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.209
Teacher spread0.177 · 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
Published2009
Admission routes1
Has abstractyes

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