Bibliographic record
Abstract
Abstract The very nature of Spanish colonization meant that New Spain brought together people from different cultures, ethnicities, religions, and attitudes. Mexico City was the meeting place of all these various populaces. Before the conquest, Tenochtitlan had neighborhoods composed of residents from various parts of the empire. Apart from the many indigenous cultures, colonization also meant the addition of Spaniards, Africans, and Asians, some of whom were enslaved and others simply migrants. The result was a culture that expressed itself both in high and popular culture with a melding of elements—a joyous cacophony that reflected its mestizo nature. This culture was played out not only in institutional settings such as the viceregal court, ceremonies, the theater, and in church but also in the streets, parks, and taverns that dotted towns and cities. Although culture, to a certain extent, reflected New Spain’s hierarchical nature, separation between high and low was never absolute. In the cathedral, as in many other institutions, popular pursuits and music infiltrated the formal singing. This pattern of cultural slippage prevailed within many areas of daily life as the colonial world of New Spain layered pastimes and pursuits from its many constituents.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".