Bibliographic record
Abstract
In this paper, we present an analysis of French reflexives wherein we distinguish between anaphor and referential reflexives. Each type of reflexive corresponds to a distinct set of properties. We show that the clitic se possesses the properties of the anaphor while the forms lui/lui-même possess the properties of referential reflexives. We formulate the following hypothesis: the anaphor is an operator whose domain is VP and which is positioned in French in the syntatic component. In this position, the anaphor can be indexed by the subject which becomes its antecedent. The indexation procedure occurs via the rule of Predication at Logical Form. French thus differs from English (which also possesses two types of reflexive) in that the English reflexive is positioned only at LF. We demonstrate how the various properties of the two reflexives fall out from our analysis (for both languages), showing that overt reflexives can be described without resorting to the binding theory.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.005 | 0.011 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".