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Foreign Direct Investment

2017· other· en· W4250132811 on OpenAlexaff
Masao Nakamura

Bibliographic record

VenueThe Blackwell Encyclopedia of Sociology · 2017
Typeother
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsForeign direct investmentBusinessPortfolioForeign portfolio investmentShareholderOrder (exchange)Portfolio investmentFinanceMarket economyProduction (economics)Corporate governanceEconomicsReturn on investmentOpen-ended investment companyMacroeconomics

Abstract

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Abstract Foreign direct investment (FDI) refers to firms' investments in foreign countries where new production and other physical facilities are built in order to conduct new business operations, including selling and servicing the firms' products. Such foreign expansions are often demanded by the firms' growth‐seeking shareholders, as the firms' domestic markets saturate. The focus is on firms' FDI rather than on their overseas portfolio investments in financial assets (e.g., stocks, bonds). Discussed here are certain factors that characterize firms' FDI‐driven foreign operations vis‐à‐vis their domestic operations. These are political, economic, and other factors that affect the riskiness of foreign operations for those who own these operations (e.g., is the investing firm the sole owner of the operations?) and the implications of foreign operations for firms' home countries and for the countries that host their FDIs.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.121
Threshold uncertainty score0.405

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0010.000
Scholarly communication0.0050.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1210.052

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 head0.016
GPT teacher head0.239
Teacher spread0.223 · 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 designNot applicable
Domainnot available
GenreOther

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

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