Productividad total de los factores y capital tecnológico: un análisis comparado
Bibliographic record
Abstract
En este trabajo se presenta el calculo homogeneo de la productividad total de los factores (PTF) de diez agregaciones sectoriales de la manufactura de cuatro paises europeos, Estados Unidos y Canada, y se estima su contribucion al crecimiento de la produccion industrial durante el periodo 1979-2001. Tambien se estima la influencia que la inversion en I+D -tanto nacional, como foranea- ha ejercido sobre el factor residual, poniendo especial atencion en los efectos del comercio internacional y en las tecnologias de la informacion y las telecomunicaciones. Entre las aportaciones efectuadas cabe resaltar, ademas del calculo de indices de PTF a nivel sectorial que posibilitan las comparaciones multilaterales, el empleo de tecnicas de tratamiento de series temporales que permiten aplicar la metodologia de cointegracion a paneles de datos
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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; both teacher heads agree on what is shown here.
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".