The Great Balancing Act: Households, Debt, and Economic Insecurity
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
Balancing finances is a complicated and precarious act for many U.S. households, with constant concerns that income will not be enough. What happens when households are no longer able to keep up this balancing act? This research draws on 2019 Survey of Consumer Finances data to examine varying experiences of economic insecurity, measured as whether a household’s expenses exceeded its income in the previous year, and households’ strategies for managing economic insecurity. The author explores the ties among economic security, household debt burdens, and credit market access. By comparing the actual strategies that insecure households used to weather insecurity with the hypothetical strategies proposed by more secure households, the findings show that the resources that protect against insecurity also influence how households manage it. Although most insecure households relied on borrowing when their spending exceeded their incomes, secure households most often recommended spending from savings or finding additional income.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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