Restricting Our Consumption of Material Goods: An Application of the Theory of Planned Behavior
Bibliographic record
Abstract
Despite the increasing number of studies investigating environmentally friendly behavior, relatively little research has examined the attitudes, subjective norms, perceived ability, and intentions of individuals to restrict their consumption. The current study validated a new measure of consumption restriction developed from the Theory of Planned Behavior. A total of 243 college-aged students completed the Consumption Restriction Questionnaire (CRQ), in addition to measures of greed, frugality, materialism, and consumption. Results confirmed the importance of attitudes, subjective norms and perceived control as determinants of both intentions to restrict consumption in addition to actual consumption, and also demonstrated the superiority of attitudes, subjective norms and perceived control in predicting consumption related to individual differences in greed, frugality and materialism. However, intentions to restrict consumption were modest. Results have implications for both our understanding of environmentally friendly behavior, as well as for the targets that interventions designed to restrict our consumption should address.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".