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Record W1489119754 · doi:10.5539/jpl.v8n3p127

The Police, the Immigration Office and Illegal Immigrants: Indonesian’s Cases

2015· article· en· W1489119754 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Politics and Law · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMaritime Security and History
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationGovernment (linguistics)DutyIllegal immigrantsHuman traffickingBusinessIndonesian governmentChristian ministryRevenueIndonesianPolitical scienceLawCriminologySociologyFinance

Abstract

fetched live from OpenAlex

As a country that has strategic position, Indonesia faces illegal trafficking of people and goods. If the illegal traffic is not taken seriously, not only the country will lose revenue from customs duties, but also not integrated efforts against illegal traffic of goods and people. This paper will discuss the role of POLRI in assisting the Immigration Office in combating human trafficking and smuggling. This paper will also discuss the problem of illegal immigrants and human trafficking is complicated due to unscrupulous government and security apparatus. This paper also seeks actors involved and their role in paving the way for illegal immigrants. Finally, this paper argue the duty of POLRI in assisting the Immigration Office will run effectively if it involves a number of government agencies relating to the management and supervision of foreign territories, including the Ministry of Home Affair and the Armed Forces (TNI).

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.966
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.020
GPT teacher head0.278
Teacher spread0.258 · 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