The NSA: the impact of the wiretapping scandal on German-American relations. OSW Commentary No. 124, 14.01.2014
Bibliographic record
Abstract
Edward Snowden revealed that America’s National Security Agency (NSA) had tapped Chancellor Angela Merkel’s mobile phone and had collected date en masse. This has caused the largest crisis of confidence in relations between Germany and the US since the Iraq war. Due to the technological advantage which American intelligence services have, Germany wishes to continue close co-operation with the US but is making efforts to change the legal basis of this co-operation dating back to Cold War times. Berlin would like to secure part of provisions similar to the Five Eyes alliance – agreements signed between the US, the UK, Canada, New Zealand and Australia in the second half of the 1940s, aimed at intelligence sharing and a ban mutual bugging. This could spell the end of the last (not including the military presence) relic of Germany’s dependence on the US which emerged following World War II and took shape in the shadow of the Cold War. The process of Germany’s emancipation in trans-Atlantic relations, which began after Germany’s reunification, would be complete. The US is however opposed to such far-reaching changes as it is interested in continued co-operation with Germany without limiting it. Were it not to sign agreements satisfactory for Berlin, this would lead to a protracted crisis of confidence in German-American relations.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.010 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.039 | 0.025 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".