ANALYSIS OF THE SCHOOL PURPOSES OF A SCHOOL LANGUAGE AND COMMUNICATION TEXT FROM CHILE FROM THE LOOK OF THE COGNITIVE VALUE OF THE KNOWLEDGE PROPOSED
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
This article proposes a learning content analysis model proposed in a curriculum. It questions the educational purposes of a Chilean language and communication textbook based on Young's (2008; 2009) proposal regarding the cognitive value of knowledge that empowers students. The emancipatory objective of a school curriculum would result from the structuring and organization of said knowledge. What is knowledge that empowers? What are the intellectual activities in which the teaching of this knowledge involves students? In this contribution, we conceptualize knowledge that empowers by referring to the relationships between two processes of generalization of experience, as outlined by Vygotsky (1934/1997) in his discussion of the relationships between everyday concepts and scientific concepts. Although with important limitations, our data analysis highlights that in order to analyze the emancipatory potential of a school curriculum, it is necessary to take into account the way it organizes and structures knowledge. Throughout the article, we show that empowering knowledge is developed through teaching-learning activities that involve the person in a process of theoretical generalization. Finally, we highlight the contradictions between the emancipatory purposes that are announced by its designers and the way in which knowledge is organized and structured in the mother tongue teaching curriculum.
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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it