Emotional Intelligence and Personal Finances in the Academic Curricula: A Critical Analysis of Their Potential Synergies
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
The research addresses two major topics, Emotional Intelligence and Personal Finance, and the need to be permanently included in the academic curricula. The purpose of the paper consists in raising awareness within the teaching community on the relevance of these two topics for the personal and professional development of students. Furthermore, the research identifies the potential positive synergies between emotional intelligence and personal finances for students when both subjects are included in the academic curricula. The study proposes several conceptual findings via the literature review and showcases how emotional intelligence could have a higher positive effect than Intelligent Quotient when managing personal finances, and how individuals with a higher Emotional Intelligence become more effective in their professional development and more financially independent. The paper also signifies the importance of money attitude and self-efficacy in individual’s financial management behavior and identifies the positive synergies between Emotional Intelligence and personal finance management on students’ academic and professional development.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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