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.
Bibliographic record
Abstract
Maritime piracy is a serious threat to international trade. Indeed, using Instrumental Variable Poisson Pseudo-Maximum Likelihood (IV-PPML) and PPML gravity models and using data on maritime distance and on piracy attacks over the period 2000–2016, it is estimated that an increase by 10 piracy attacks on the shortest maritime trade route between a country-pair results in a decrease in bilateral trade’s value by 2.8%. The impact, at 1.5%, is much smaller if the endogeneity of piracy attacks is not controlled for. Heterogeneity analysis reveals that successful attacks, attacks that involve violence, or attacks that target cargo are particularly detrimental to trade. This paper contributes to the literature by being the first to look at: non-Somali piracy attacks, different commodity groups, and various forms of attacks. This paper also proposes the use of maritime distance, instead of the commonly used great-circle distance. Finally, it offers a new instrumental variable for piracy attacks, namely, the sum of the square of the highest security apparatus index among countries in the vicinity of each vital chokepoint crossed by a ship travelling on the shortest maritime trade route between a country-pair, in a given year.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it