INTERPRETAÇÕES DO INFINITO MATEMÁTICO A PARTIR DA EPISTEMOLOGIA GENÉTICA
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this report, we present a study about the mathematical infinity with regard to the Genetic Epistemology. Through the Piagetian clinical method, an explorato-ry study was carried out to understand the different conceptions about the mathematical infinity. The subjects were between 13 and 73 years old and they have been addressed to manipulate concrete experiments and then have been asked to respond to a semi-structured interview. Using mathematical tests in which the results tend to infinity or to very large numbers, we notice how the subject faces a feasibility issue without having a concrete material to handle. Regarding the results, we find out three levels of understanding on the theme: Inconceivable Existence, Existence little conceivable and Infinite as a representa-tion of something that has no end. We found that the notion of the mathemati-cal infinity did not depend on age, degree of education or professional area of the participants and we conclude that this notion is constructed by different levels of the thought. The presented study could be useful for teachers of basic and higher education, since it exposes how the interviewees organize its thoughts when facing the addressed issues.
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.
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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.006 |
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 it