Por uma sociolingüística românica "paramétrica": fonologia e sintaxe
Bibliographic record
Abstract
Resumo: O presente ensaio busca sintetizar, no sentido de "capitalizar", parte do saber teórico acumulado pela teoria da variação e da mudança lingüísticas, tal qual proposta por Labov, em relação ao grupo românico ocidental de línguas, dentro da fonologia e da sintaxe. Os resultados obtidos a partir das análise do francês canadense, do espanhol das Américas e do português do Brasil recebem, por sua vez, uma leitura "parametrizada", buscando-se aproximar esse saber teórico da variação e da mudança às conquistas do modelo paramétrico, recentemente emergente na sintaxe chomskiana. Neste sentido, o ensaio procura demonstrar a compatibilidade entre as análises propostas pelo paradigma laboviano e pelo quadro teórico chomskiano.Abstract: This essay tries to sum up, in the sense of "capture", part of the theoretical knowledge accumulated by the theory of language variation and change, as proposed by Labov, on the West Romance group of languages, both in phonology and syntax. The results obtained from the analyses of Canadian French, Spanish in the Americas, and Brazilian Portuguese are then "parametrically" considered in the light of the theoretical knowledge to be found in the recently developed parametric raodel, as proposed by Chomsky. To that end, the present essay tries to demonstrate how compatible the analyses developed by either the Labovian paradigm or the Chomskian framework can be.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.012 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".