BIBLIOTECÁRIO NA FORMAÇÃO DE LEITORES EM POTENCIAL
Bibliographic record
Abstract
Since the librarian works with a powerful tool for the development of human potentialities, which is reading, we attempted to promote, through playful workshops, reading activities that focused on children’s taste for reading, promoting a rich exchange of knowledge and leveraging social, political and cultural engagement of 40 children, aged 7-12 years old, from two Municipal public schools on the outskirts of Fortaleza. The methodology consisted in the development of storytelling activities; interactive dynamics oriented to practices of different readings; reading activities with magazines, newspapers, books of children and youth literature; and educational primers. We disclose the importance of reading practices, in a process of reflection on what they represent in the lives of children, explaining the use and importance of reading to the development of society. We obtained, thus, a satisfactory result with an increasing awareness of the children to various possible paths through reading, in a potential, interactive, dynamic, collaborative, active, and creative exercise, turning reading into a source of pleasure and leisure. Forming citizens who think, reflect, and act critically about the events around them.
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 | 0.011 | 0.086 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.019 | 0.021 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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".