Bibliographic record
Abstract
The series of essays that are presented were written during the last years from the interior of Argentina, from its Mediterranean province of Santiago del Estero. Our country has been a case of global analysis for a long time. Fundamentally because all the countries that came to be qualified as being the process of or emerging, always did so from a previous position of underdevelopment. Argentina is the only country in the world that did it from a clearly superior level. It is a country that was born to the world, from the then very remote southern hemisphere of Latin America, just beginning the nineteenth century and, in just over a hundred years later, it was already in the top ten of the concert of Nations, calling attention, both from the US and from all of Western Europe, for its verified economic growth and its potential for development and immediate and future progress. From the period between the wars of the 2 great world wars and until the middle of the 20th century, everything changed. Society gradually ceased to be as cosmopolitan and integrated to the world as before and the political leadership forgot the dreams of the greatness of the previous leaders. Canada in North America and Australia in the Southern Hemisphere turned out to be the factual counterfactual of what, most likely, we may have been at present.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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; 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".