Belief in a Just World: Consumer Intentions and Behaviors toward Ethical Products
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
Although consumers report positive attitudes toward ethical goods, their intentions and behaviors often do not follow suit. Just-world theory highlights the conditions under which consumers are most likely to prefer fair-trade products. This theory proposes that people are motivated to construe the world as a just place where people get what they deserve. In the current research, when people are confronted with high levels of injustice (communicated need is high) and avenues for justice restoration seem uncertain or unavailable, assisting others by supporting fair trade decreases. However, highlighting how injustice can be redressed through purchases enhances fair-trade support under conditions of high need. The effects are moderated by justice sensitivity factors, such as just-world beliefs and whether the product type (indulgence vs. necessity) makes the injustice of consumer privilege salient. The results suggest that communicating high need when requesting consumer prosocial actions can sometimes backfire. Marketers employing high need appeals should heighten perceptions of justice restoration potential and activate fairness-related thoughts through product positioning to encourage fair-trade purchases.
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 | 0.030 | 0.050 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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