Science Represented in Newspapers in the Constitutional Monarchy and the 1st Republic. A Study in Faial Island, the Azores, Portugal
Bibliographic record
Abstract
This study aims to apprehend the representations of science published in two local newspapers (O Faialense and O Telégrafo) published in the periphery of Portugal (Faial Island, the Azores), in the last quarter of the 19th and early 20th century. For this purpose, the authors carried out a thematic and qualitative analysis of the news collected in these two newspapers. Results allow concluding that, while Positivism is considered one of the main currents of thought justifying the rise of the republican logic, which culminated in the revolution that deposed the constitutional monarchy regime and implemented the republican regime in 1910 in Portugal, the research carried out shows a growing appreciation and visibility of the importance ascribed to both science and technology, without, however, any explicit association with political ideologies. This may be due to the type of search carried out and the editorial lines of the two newspapers, as well as – or also – to their peripheral geographical location concerning the propagation of these ideas. Received: 31 October 2020 / Accepted: 9 December 2020 / Published: 17 January 2021
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".