Out of sight, out of mind? : economic perceptions in everyday settings
Bibliographic record
Abstract
How do individuals form their perceptions of economic matters? In this thesis I present three chapters which aim to demonstrate that individuals are influenced by their immediate environment in shaping their perceptions of the national economy or their economic status. In Chapter 1, I use cohabitation between young adults and their parents as a proxy for the economic difficulties experienced by individuals aged between 18 to 34. Using survey data from 32 countries, I show that parents' daily exposure to their adult child's difficulties negatively influences their perception of the national economy as well as the performance of the government. Chapter 2 deals with perceptions of an individual's economic status. I show that rising housing prices lead to economic anxiety among renters because of a fear of gentrification in their locality, as well as economic barriers to become home owner. My results are drawn from two survey experiments, one conducted in the United States, the other in Montreal. Finally, in Chapter 3 I take a more traditional approach to investigate the link between the local economic context and perceptions of the national economy. For this last chapter, I propose to reconsider the local economic context by taking into account not only the unemployment rate at the place of residence but also the place where adult individuals spend a large part of their time, i.e. their work. My results show that while the level of local unemployment is indeed correlated with the perception of the national economy, taking into account the average unemployment rate at the destination weakens this correlation. On the other hand, a global measure that takes into account the residential area as well as where individual's use to go on a daily basis is better correlated with the perception of the national economy.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".