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
In this paper, we discuss the CP domain of embedded clauses in Spanish, specifically in the realm of que +embedded question constructions first discussed in Plann (1982). We argue for the existence of (at least) two distinct CP layers (following previous work by Lahiri 2002, Demonte & Fernández-Soriano 2009, and Suñer 1991, 1993). Following Suñer (1991, 1993), we argue that there are two semantically distinct classes of embedded clauses, although we depart from her by claiming that the relevant distinction should be formulated in terms of referentiality. We claim that her ‘true indirect questions’ are just one case of a non-referential embedded CP (another being a non-referential sentential complement to a non-factive verb). Moreover, we provide evidence that this difference in referentiality corresponds to a structural difference as well: embedded referential CPs have less structure than non-referential embedded CPs. We also offer a classification of embedded clauses based on the presence or absence of an extra CP layer ( c P) and the presence or absence of a question operator. Finally, we suggest that the overt spell-out of the non-referential head in Spanish embedded clauses is conditioned by the presence of a particular speech-act operator. Keywords: Spanish; indirect questions; factive and non-factive complements; referentiality; CP layers
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.043 | 0.003 |
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