VARIACIÓN EN LOS PRONOMBRES PERSONALES DE OBJETO DE TERCERA PERSONA EN LA PROVINCIA DE ZAMORA, SEGÚN DATOS DEL ALPI
Bibliographic record
Abstract
Unstressed third-person object personal pronouns vary greatly throughout the Hispanic world. Four main systems are found: an etymological system (where the use of the pronouns follows case/gender distinctions) and three referential systems (where the case/gender distinctions are not maintained). The case-gender distinctions not maintained consist of: 1) the use of le for lo or la, termed leísmo; 2) la for le, or laísmo; and 3) lo for le, known as loísmo. This paper determines which of these four systems were used in Zamora province — said to have three dialectal zones — in the 1930s by means of an analysis of the unstressed third-person object personal pronouns used in 24 ALPI Cuaderno I sentences. A detailed examination of apparently divergent uses permits us to show that the use of the etymological system is almost categorical for the whole province and that dialectal morphosyntactic unity can exist alongside dialectal phonetic variability.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".