Focus on Cataphora: Experiments in Context
Bibliographic record
Abstract
Since Chomsky 1976 , it has been claimed that focus on a referring expression blocks coreference in a cataphoric dependency (* Hisi mother loves JOHNi vs. Hisi mother LOVES Johni ). In three auditory experiments and a written questionnaire, we show that this fact does not hold when a referent is unambiguously established in the discourse (cf. Williams 1997 , Bianchi 2009 ) but does hold otherwise, validating suggestions in Rochemont 1978 , Horvath 1981 , and Rooth 1985 . The perceived effect of prosody, we argue, building on Williams’s original insight and deliberate experimental manipulation of Rochemont’s and Horvath’s examples, is due to the fact that deaccenting the R-expression allows hearers to accommodate a salient referent via a “question under discussion” ( Roberts 1996/2012 , Rooth 1996 ), to which the pronoun can refer in ambiguous or impoverished contexts. This heuristic is not available in the focus cases, and we show that participants’ interpretation of the pronoun is ambivalent here.
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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 | 0.005 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".