<i>The</i> bike, <i>the</i> back, and <i>the</i> boyfriend
Bibliographic record
Abstract
Abstract Using comparative sociolinguistic methods, we probe the underlying mechanisms governing the variation between possessive determiners, my bike , and the definite article, the bike , in possessive contexts in two mainstream English varieties (Canadian and British English, N = 6,217). Results indicate the is stable and pervasive, occurring approximately 30 percent of the time with personal domain possessed nouns. For some nouns, e.g. dog and cat, the occurs over 75 percent of the time. The Canadian Oxford Dictionary records possessive the as chiefly British, while Quirk et al. ( 1985 : 271–272) observe that only low-status men use it; however, we find no difference between the UK and Canada, nor a significant gender or education effect in either dataset. When we model the variation between forms according to conceptions of ownership, we find an underlying system for encoding communal possession that transcends social categories and dialect: the more that possession is communal, the more the is used.
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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 | 0.005 | 0.059 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".