In the wrong mood at the right time: Children's acquisition of the Spanish subjunctive in temporal clauses
Bibliographic record
Abstract
This study investigates the complexity of the mapping task in children's acquisition of the Spanish subjunctive in temporal clauses. We consider that children's difficulty with this task arises from the interaction between mood and other elements determining the evaluation of the temporal clause, such as semantic factors, tense, and cognition. Forty monolingual Spanish-speaking children first completed a cognitive assessment test, evaluating false belief understanding; this was followed by a linguistic prerequisite test assessing understanding of temporal connectors and knowledge of subjunctive morphology, and finally a temporal clause production task. Results reveal that mood selection in temporal clauses does not simply start with indicative followed by its replacement by subjunctive. On the contrary, the use of subjunctive temporal clauses involves a complex process for children in which tense corresponds to a fundamental source of bootstrapping. These results confirm the view that the acquisition of mood selection undergoes a protracted development. Spanish subjunctive meanings are not immediately accessible to children.
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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 | 0.001 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".