Using social and consumer values to predict market‐place behaviour: questions of congruency
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 Social values and consumption values, although intricately linked, are not exactly the same. Nonetheless, marketers contend that the central premise of social value monitoring is that, if one understands people’s values, one can better predict how they will behave in the market‐place. This paper challenges this assumption because policy analysts and industries are relying on both the consumer and social value profiles at a time when society and the market‐place are undergoing a profound transition. Using Canada as a case study, the general societal values of consumers identified by pollsters are discussed relative to nine consumer values espoused by marketers. This comparative analysis suggests that many of Canadians’ alleged consumer values seem to be in direct conflict with their espoused social values. This conclusion implies that the validity of using social values as a proxy variable or predictor for consumer values needs to be examined by researchers and policy analysts. Also, future dialogue needs to occur about adhering to the convention of monitoring social and consumer values using public opinion polls while not marrying this process with public judgement dialogues. Finally, other countries are urged to examine the situation in their market‐place so as to facilitate cross‐cultural comparative analysis of consumer market‐place values.
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 | 0.000 | 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 | 0.000 |
| 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 it