Impliciet leren : Een onderzoek onder Nederlandse moedertaalleerders in Zweden
Bibliographic record
Abstract
In deze scriptie wordt onderzocht hoe tweedetaalverwerving verloopt onder Nederlandse moedertaalleerders in Zweden. Het onderzoek is gebaseerd op de theorie van tweedetaalverwerving, dat ervan uitgaat dat taalverwerving een dynamisch proces is. Het zogenaamde model van de Dynamische Systeem Theorie van de Bot, Lowie & Verspoor (2007) vormt het uitgangspunt en sluit aan bij de algemene kenmerken die typerend zijn voor deze theorie van taalleren. Het resultaat van de analyse focusseert zich op een speciale uitdaging voor Zweedstalige sprekers, namelijk prepositiegebruik, en laat een positief effect zien op de verwerving van preposities bij jonge taalleerders door middel van impliciete instructie.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.007 | 0.012 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.063 | 0.010 |
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".