How Firms Relate to Their Markets: An Empirical Examination of Contemporary Marketing Practices
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
The authors examine 308 firms in the United States and four other Western countries to understand how different types of firms relate to their markets. Comparative analysis shows that though there is some support for consumer and goods firms being more transactional and business and service firms being more relational, there are many exceptions. The results also show that firms can be grouped into those whose marketing practices are predominantly transactional, predominantly relational, or a transactional/relational hybrid. Each group constitutes approximately one-third of the sample and includes all types of firms (consumer goods, consumer services, business-to-business goods, and business-to-business services). This suggests that marketing practices are pluralistic and managerial practice has not shifted from transactional to relational approaches per se.
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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 | 0.023 | 0.011 |
| 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 | 0.004 |
| 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