Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The name Juanita should have been an unlikely candidate for popularity in a place like Newfoundland, where only 0.1% of the population of half a million speaks Spanish as a mother tongue and 0.4% identifies as having Spanish, Latin American, Central American, or South American ethnic origins. Nonetheless, the name is a well-established member of the Newfoundland onomasticon. Drawing on archival research, census data, and other primary source materials, this study seeks to uncover how Juanita was introduced to Newfoundland and what determinants precipitated its widespread acceptance. The author proposes that the early adopters of Juanita were inspired by a nineteenth-century ballad of the same name and that Juanita was ripe for incorporation into the Newfoundland onomasticon because of its phonetic resemblance to girls’ names in already common use in the region, including Anita, Rita, and Zita. As a result, Juanita had the benefit of novelty, an increasingly important factor in name choice in English-speaking countries in the latter half of the nineteenth century, balanced by a familiarity, leading to what Berger and colleagues (2012) call “optimal innovation.”
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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 it