PECUNIA - A LIFE SIMULATION GAME FOR FINANCE EDUCATION
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
Research literature from around the world suggests that younger children can benefit from finance education as much as older ones if not more. Playing games is also equally attractive for children and young adults, so combining finance education with games can provide them with opportunities for learning about different financial decision through trial-and-error without putting themselves into risk situation. Pecunia - the game world - is developed with exactly this aim in mind. Pecunia in Latin means money. Pecunia utilizes the open-source platform OpenSim (similar to Second Life) where students take the role of an 18 years old male/female character and live his/her life in terms ofmaking various financial decisions and see through the consequences. The game provides a sound underpinning of the skills needed to make good financial decisions, hence preparing students for being good citizens in later life. The financial rules can be changed so the game can be used worldwide for people in different countries.
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 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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