INFORMAÇÃO E IDEOLOGIA: DIÁLOGOS FILOSÓFICOS NO ÂMBITO DO PROSELITISMO INFORMACIONAL
Bibliographic record
Abstract
Aborda relações entre informação e ideologia no âmbito do conceito de proselitismo informacional. A seguinte pergunta é formulada como ponto partida: como se constitui conceitualmente o proselitismo informacional considerando suas características e perspectivas de ação? O objetivo do estudo é discutir sobre as relações entre os conceitos de informação e ideologia nos meandros da construção filosófica em Marx, Mannheim, Thompson e Bakhtin, com o intuito de compreender a fundamentação analítico-conceitual do proselitismo informacional. A metodologia foi construída no contexto da pesquisa bibliográfica permitindo ao pesquisador a cobertura de uma gama de fenômenos possibilitando a elaboração de um processo reflexivo baseado em múltiplos diálogos com a literatura científica nacional e internacional em Ciência da Informação, Filosofia e áreas afins de diferentes períodos históricos. Conclui-se que o proselitismo informacional se configura como prática que deturpa o significado humano e verídico da informação pautada em práticas positivistas, utilitaristas e antiéticas.INFORMATION AND IDEOLOGY: PHILOSOPHICAL DIALOGS IN THE SCOPE OF INFORMATIONAL PROSELYTISMAbstractDiscusses relations between information and ideology under the concept of information proselytism. The next question is formulated as a starting point: how is being conceptually constituted the informational proselytism considering its features and action prospects? The objective is to discuss the relationship between the concepts of information and ideology in the intricacies in Marx, Mannheim, Thompson and Bakhtin'a philosophical construction, in order to understand the conceptual basis of the analytical-informational proselytism. The methodology was built in the context of literature allowing the researcher to cover a range of phenomena, enabling the development of a reflective process based on multiple dialogues with national and international scientific literature in Information Science, Philosophy, and related areas of different historical periods. It is concluded that the informational proselytism is configured as a practice that distorts the true meaning of human and information guided by positivist, utilitarian, and unethical practices.
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.011 | 0.045 |
| Scholarly communication | 0.024 | 0.020 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".