Innovation in Intercultural Contexts: Construction of Meaning from Reference Cultures
Bibliographic record
Abstract
This investigation was carried out in an attempt to respond to the issue of identification of codes for constructing meaning that yield to innovation. Based on the discourse of rural primary school teachers of la Araucania Region, Chile, we sought to expose key elements and codes that allow teachers to construct and/or re-elaborate meaning that may lead to change and innovation in educational contexts. The investigation was conducted through a qualitative approach, and based on the teachers’ discourse. The obtained data analysed focused on intersubjective shared meanings, which may be visualised through the teachers’ representation of change and innovation. Specific attention was drawn upon the meaning construction for transformation in schools of la Araucania Region in rural contexts. The obtained results reveal little relation between innovative discourses and the cultural context of reference. In addition, there is strong evidence of reduction of the innovative process on defined guidelines on behalf of the public school system.
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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 | 0.012 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.006 | 0.037 |
| Scholarly communication | 0.015 | 0.014 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.003 |
| 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".