Bibliographic record
Abstract
Recognizing the lexical units in the speech chain in Portuguese is one of the most difficult problems in processing, as the listener must delimiting them, facing distortions, pauses and hesitations, in addition to sociolinguistic and contextual phonetic variants. Such phenomena indicate that, in a pre-lexical phase of recognition, the receiver restores the information received, with inferences through the crossing of contextual data extracted from utterances (intake) with those coming from their permanent memories (topdown processes). The boundaries between lexical units are opaque, particularly when they are clitic due to external closed juncture or sandhi. Spontaneous speech frequently presents distortions and ruptures, instead of signaling ways to the listener, for dividing the speech chain into larger, gradually smaller phrases, until reaching lexical units. There are even ruptures at the inframorphemic and even intrasyllabic level. The difficulty in delimiting is very great when the listener is faced with new words. The methodology is bibliographic and I examined the texts of researchers who have addressed the topic. I conclude that the absence of isomorphy between the phonological and the morphosyntactic words challenges a scientific explanation of how the listener solves this contradiction, since, for the lexical item, she/he must pair the intake with the respective phonological lexical item in her/his mental dictionary.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.133 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".