Respon Meksiko dalam Menghadapi Perubahan Lingkungan Strategis di \nAmerika Utara, 2011-2015
Bibliographic record
Abstract
Penelitian ini dilakukan dengan untuk melihat ancaman yang muncul dari \nperubahan lingkungan strategis di Kawasan Amerika Utara yang memunculkan \nindikasi bahwa Meksiko melakukan peningkatan pada lini pertahanan negaranya. \nTujuan kedua adalah untuk melihat jenis respon yang dilakukan oleh Meksiko \ndalam menghadapi. Data yang digunakan dalam penelitian ini adalah jenis data \nsekunder yang utamanya berasal dari IISS, SIPRI, dan UNROCA. Dengan \nmenggunakan metode penelitian deskriptif kualitatif dan dengan mengacu pada \nkonsep lingkungan strategis dan konsep balance of threat, penulis melihat bahwa \ndalam kurun waktu 2011-2015, proksimitas geografis dan kekuatan offensif \nmerupakan sumber ancaman yang muncul di Kawasan Amerika Utara. Untuk \nmerespon ancaman tersebut, Meksiko dalam bidang keamanan melakukan \nbandwagoning terhadap AS dan Kanada karena baik dari bidang pemenuhan \nagregat kekuatan dan kekuatan offensif yang dimiliki oleh Meksiko belum bisa \nmenandingi, bahkan menyamai AS dan Kanada. Selanjutnya, diketahui respon \nMeksiko pada power negara yang mengancam adalah melakukan swaggering \nyang dimaksudnya untuk menunjukkan kekuatan negara demi mempertahankan \nstatus quo negara. \nKata kunci: lingkungan strategis, Meksiko, Kawasan Amerika Utara \n \nabstract \n \nThe study was conducted with the aim of looking at the threats that arise from \nstrategic environmental changes in the North American Region that given rised to \nan indication that Mexico was upgrading its country's defense. The second \nobjective is to look at the kind of response made by Mexico in the face. The data \nused in this study is a type of secondary data which mainly comes from IISS, \nSIPRI, and UNROCA. By using qualitative descriptive research methods and the \nconcepts of strategic environment and balance of threat, the author argues that \nwithin the period of 2011-2015, geographical proximity and offensive forces were \nthe source of threats that arise in the North American Region. In respond to these \nthreats, in term of security, Mexico took bandwagoning against the U.S. and \nCanada because both of the aggregate fulfillment areas of Mexico's strength and \noffensive power had not been able to match the US and Canada. Furthermore, it is \nknown that Mexico's response to the state‟s power that threatenwas„to swagger‟. It \nalso means that Mexio tried to maintain its status quo. \nKeywords: strategic environment, Mexico, North America Region
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".