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Consular Affairs

2018· other· en· W4240942008 on OpenAlexaff
Francis M. Carroll

Bibliographic record

VenueThe Encyclopedia of Diplomacy · 2018
Typeother
Languageen
FieldBusiness, Management and Accounting
TopicLaw, logistics, and international trade
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsLawSettlement (finance)Political scienceState (computer science)ConventionService (business)Foreign policyRank (graph theory)Public administrationPoliticsBusinessComputer science

Abstract

fetched live from OpenAlex

The history of consular affairs extends back into the ancient and medieval periods, where the need was recognized to protect and promote the interests of one's nationals in foreign lands. As the modern state emerged the responsibilities for the duties of the consul were assumed by the national governments. In the course of the last century and a half, the consular services of the leading powers have been reformed, professionalized, and integrated with their diplomatic services to form a unified foreign service. The 1963 Vienna Convention on Consular Relations effectively created an international law standard for the appointment and termination of consular relations, the settlement of issues of consular privileges and immunities, and the definition of matters of consular rank and functions.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.235
Threshold uncertainty score0.788

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0060.002
Scholarly communication0.0110.005
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.2350.135

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 head0.015
GPT teacher head0.243
Teacher spread0.228 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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