Targeting Consumers Who Care about Future Generations
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
ABSTRACT Generativity, as an adult's preoccupation with the well‐being of future generations, is a well‐studied concept in the social psychology literature. However, to this day, little is known about this concept within a consumer context. This article presents two studies that aimed to better understand the attitudes and behaviors of generative consumers. A first study was conducted to develop a more appropriate measure of generativity for consumer situations. It produced a two‐factor consumer generativity scale of six items, one factor of which measures the motivation for symbolic immortality (agentic generativity) whereas the other factor measures the motivation to be useful (communal generativity). The second study showed the predictive validity of the new scale. Highly generative consumers have more favorable attitudes toward ads and products that are generatively positioned. Generative consumers intend to buy products positioned as generative. In addition, the second study presents some sociodemographic characteristics of generative consumers. This research presents a valid and parsimonious scale of consumer generativity, and demonstrates the relevance of using a generative positioning strategy when targeting highly generative consumers.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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