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Record W57030027

The rise of portuguese multinational enterprises (1980-2005)

2008· preprint· en· W57030027 on OpenAlexaboutno aff
Ana Bela Nunes, Carlos Bastien, Nuno Valério

Bibliographic record

VenueUniversity of Lisbon Repository (University of Lisbon) · 2008
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsnot available
Fundersnot available
KeywordsPortugueseMultinational corporationBackwardnessContext (archaeology)Quarter (Canadian coin)Competition (biology)BusinessInternational tradeEconomyPolitical scienceEconomicsEconomic systemGeographyEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

This paper tries to make an assessment about the process of formation of Portuguese multinationals during the last quarter of century in the context of similar small emerging European economies. The main question to be addressed is how much Portuguese peculiarities shaped the transnationalization process of the Portuguese economy in a different way, when compared to other European economies of similar size, which have also undergone the modern economic growth process during the second half of the 20th century and the privatization process during the last quarter of century. The text focus on the consequences of two relevant facts for the Portuguese transnationalization process: the relative backwardness of Portugal, a latecomer to modern economic growth (a post WW II development, which only matured very recently along the terciarization process); the gradual evolution from import substitution policies (which protected firms from international competition and, eventually, made them less competitive abroad in the long run) to export-led growth. At the same time, the paper tries to identify the typical expansion strategies of active transnationalisation, while the main cases of Portuguese multinational firms will be reviewed and put in the context of the ranking of the World multinationals.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.002
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 head0.011
GPT teacher head0.182
Teacher spread0.171 · 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.

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
Published2008
Admission routes1
Has abstractyes

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