Is meaning construction attempted during the processing of pseudo-compounds?
Bibliographic record
Abstract
Abstract Psycholinguists have yet to reach a consensus on what role constituent morphemes play in the processing of compound words, although some recent work suggests that morphemes are activated obligatorily during processing. In the current study, we investigate whether people use morphemes to attempt meaning construction even for pseudo-compounds which are words that appear to have a compound structure, but in fact do not (e.g., carpet is not car + pet). We obtained relational entropies (a measure of potential relational competition) for a set of pseudo-compound words based on responses from a possible relations task. The relational entropy values as well as frequency of the prime (e.g., carpet) and target (e.g., car) were then used to predict the processing of the pseudo-first constituents after exposure to the pseudo-compound masked primes. We observed a significant three-way interaction between entropy, target frequency, and prime frequency. Our results suggest that meaning construction is attempted for pseudo-compound words.
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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 | 0.004 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".