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Record W6983787735

Non-governmental Transborder Organizations in the San Diego-Tijuana and Vancouver-Seattle Corridor Regions

2007· article· es· W6983787735 on OpenAlexaboutno aff

Bibliographic record

VenueHispana · 2007
Typearticle
Languagees
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)New START
DOInot available

Abstract

fetched live from OpenAlex

En el artículo se examinan, por medio de un estudio comparativo, el carácter y papel de las organizaciones transfronterizas no gubernamentales (ONG) en dos regiones de corredo- res binacionales muy distintas: las de San Diego-Tijuana y de Vancouver-Seattle. Al analizar las organizaciones principales involucradas en los asuntos transfronterizos de cada región, se señalan las diferencias y semejanzas en términos de sus estructuras, intereses y metas respectivos. Se argumenta que la diferencia básica en el carácter de las dos regiones fronterizas y la manera en que han evolucionado a través del tiempo han influido fuerte- mente en los esfuerzos para desarrollar lazos transfronterizos en cada caso. También se considera el impacto de los acontecimientos del 9/11 sobre el trabajo de estas institucio- nes, así como sus metas para facilitar el cruce en las fronteras y promover la integración regional.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score0.799

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.252
Teacher spread0.243 · 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 designQualitative
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
Published2007
Admission routes1
Has abstractyes

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