The Nature and Function of Neologism in the Speech of Three Persian-Speaking Groups
Bibliographic record
Abstract
Neologism is found in some psychiatric and neurological patients and some normal children but with different features. To identify the nature and find the function of neologism, this study has examined the nonwords in the speech of 3 Persian speaking groups: 2 schizophrenic individuals with positive symptoms (hallucinations, delusions and thought disorder), 2 conduction aphasic patients affected by stroke and 5 normal children, both from a linguistic and psycho-neurolinguistic perspectives. The results along with the issues of previous literature showed there are substantive linguistic, neurological and psychological differences in the neologism of the three mentioned groups. The obtained features of the neologism in the three groups have been classified and briefly defined for the objectives. Classifying the features of neologism in order to identify its nature may help to recognize it, in the case of patients as a symptom of some disorders, and in normal children as a phase of language and cognition development process.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".