Bibliographic record
Abstract
Al final de la Segunda Guerra Mundial, Canada quedo posicionada como segunda potencia mundial en terminos de ingreso per-capita, pero a partir de la segunda mitad de los anos ochenta, el pais paso a ocupar el cuarto lugar. Canada presenta un superavit fiscal y en la balanza de cuenta corriente, no obstante, ello no se traduce en mayor estabilidad de precios y mucho menos en mayor crecimiento, por el contrario, la inversion privada y la produccion presentan cada ano niveles de crecimiento cada vez mas lentos. Ni la estabilidad fiscal del Estado ni la mayor inversion por parte del mismo gobierno ha logrado frenar el estancamiento, este parece actuar de manera inmune a la intervencion o no intervencion del Estado, por lo que la recuperacion del pais exige encontrar nuevas propuestas que rebasen los marcos conceptuales predominantes. Una de las mejores alternativas para regresar al crecimiento elevado y sostenido consiste en elevar el salario de acuerdo a los aumentos logrados en los ultimos anos en productividad; ello intensificara sin lugar a dudas el grado de tecnificacion y de modernizacion de la produccion, lo cual desembocara inevitablemente en mayor nivel de crecimiento y grado de competitividad internacional.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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 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".