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Record W2801905527

Economic Integration, Emerging Fields and Cross-border Governance: The Case of San Diego–Tijuana

2017· preprint· en· W2801905527 on OpenAlexaff
Jorde Eduardo Mendoza, Bruno Dupeyron

Bibliographic record

VenueRePEc: Research Papers in Economics · 2017
Typepreprint
Languageen
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsCorporate governancePoliticsCross-border cooperationOrder (exchange)Profit (economics)Non profitField (mathematics)Political scienceBusinessEconomic geographyPublic administrationGeographyEconomicsFinance
DOInot available

Abstract

fetched live from OpenAlex

The border cities of San Diego and Tijuana have experienced increasing cross-border economic, social and political relationships that have brought about the need for increasing governance of regional cross-border issues. Cross-border public, private and non-profit organizations have emerged on both sides of the border. The cross-border cooperation and governance in the San Diego–Tijuana region has promoted both the infrastructure and economic projects that have been required by different public and private organizations. The economic organizations that are considered incumbents are trying to develop a strategic action field in the area of cross-border economic activity. Challengers are represented by organizations looking to encourage educational, cultural and ecological cooperation and are considered actors interacting in an emerging field. Both incumbents and challengers have yet to develop more extensive networks in order to have greater influence in the region.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score0.717

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0100.006
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0010.002
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 head0.034
GPT teacher head0.450
Teacher spread0.417 · 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
Published2017
Admission routes1
Has abstractyes

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