Оценка производственной функции модифицированной модели Узавы-Лукаса для развитых и развивающихся стран. Production function estimation of the modified Uzawa-Lucas growth model for developed and developing countries
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
Осуществлена производственной функции для двух групп стран: развитые (Нидерланды, США, Великобритания, Норвегия, Канада и Австралия) и развивающиеся (Россия, Казахстан, Китай, Мексика, Аргентина и Бразилия). Были построены ряды удельного накопленного человеческого капитала. Было определено влияние человеческого капитала и нефтегазовых ресурсов на экономическое развития с использованием модели Узавы-Лукаса.Estimation was implemented for two groups of countries: developed countries (The Netherlands, USA, UK, Norway, Canada and Australia) and developing countries (Russia, Kazakhstan, China, Mexico, Argentina and Brazil). Series of accumulated per capita human capital were constructed. Using modified Uzawa-Lucas growth model the influence of human capital and oil-and-gas resources on economic development was defined.
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 | 0.001 | 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 | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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 it