Bibliographic record
Abstract
Abstract The present study analyses native speaker perceptions of the differences in the semantic structure of compounds and blends to specify whether the formal differences between compounds and blends are reflected on the semantic level. Viewpoints on blending vary, with some researchers considering it to be an instance of compounding ( Kubozono, 1990 ), while others identify blending as an interim word formation mechanism between compounding and shortening ( López Rúa, 2004 ). The semantic characteristics of English determinative blends and N+N subordinative compounds are compared by evaluating the differences in native speakers’ perceptions of the semantic relationships between constituents of the analysed structures. The results of two web-based experiments demonstrate that readers’ interpretations of both compounds and blends differ in terms of lexical indicators of semantic relations between the elements of these units. The experimental findings indicate that language users’ interpretation of both compounds and blends includes information on semantic relationships. The differences in the effect of the semantic relations on interpretations is likely to be connected to the degree of formal transparency of these units.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".