Costa Rica: Estimating the Non-accelerating Inflation Rate of Unemployment
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
In this paper we present estimations of the Non-accelerating Inflation Rate of Unemployment or NAIRU for the Costa Rican economy. We highlight the following results: The NAIRU displays an upward trend since the early 90s which was accentuated after the Great Recession when the Costa Rican inflation rate exhibits historically low levels; the estimations of the unemployment gap (the difference between the observed unemployment rate and the NAIRU) indicates that this gap was negative in the nineties and the first half of 2000’s but became positive afterwards. At the second quarter of 2017, the different estimates of the unemployment gap coincide in pointing out that this gap was closed, indicating the absence of aggregate demand pressures. In addition, since 2004, there has been a strengthening in the relationship between inflation and the unemployment gap.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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