Bibliographic record
Abstract
Place-names are part of the vocabulary of speakers of English as well as an important category of proper nouns in print. Like the rest of the lexicon of English, place-names, spoken or written, have had a long history of change and development. Spellings of most of the general vocabulary have evolved toward a standardized form, with the letters of the alphabet in ideal cases paralleling the sounds of the spoken form. Nations employing the alphabet often aim toward a phonemic spelling of the word-stock, with one symbol or sequence of symbols representing one phoneme, or distinctive sound, despite the fact that many mismatches or anomalies may have been inherited in traditional spellings frozen in previous centuries. With its Anglo-Saxon and Romance roots and classical borrowings, the English language is especially noteworthy for its numerous exceptions to a close relationship between the sounds of the words and the letters of the spelled forms. This mismatch is one of the reasons why many dictionaries for schools, offices,and libraries record both the accepted spellings and the pronunciations of words (Collins 1987,American Heritage 1992, Canadian Oxford 1998).
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 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 | 0.001 | 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 | 0.000 | 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) | 0.002 | 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 teacher head, 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".