Understanding our world in a time of crisis: Mathematics education pedagogy toward financial numeracy
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 paper aims to address some implications for mathematics education regarding the financial and economic implications of the beginning of the COVID-19 pandemic. We use the term financial numeracy to refer to the quantitative aspect of financial education while also arguing for it to be considered a domain of mathematics education. Financial numeracy entails three dimensions: contextual, conceptual, and systemic. We bring three examples of financial implications of the crisis in different countries. Based on these examples, we constructed learning situations that reflect the distinct orientations of each dimension of financial numeracy to clarify the teaching of such a concept in school mathematics. Particularly in a time of crisis, mathematics education must address immediate needs of society as well as contribute to overcoming social challenges. We hope that financial numeracy brings innovative solutions to teach mathematics in a way that helps individuals and communities produce and manage resources while protecting the planet.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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