RV and Camping Shows: A Motivation-Based Market Segmentation
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
Consumer shows are widely used throughout the world by recreational organizations. Although their use is rampant, little empirical research has been completed to understand the motivations of visitors they attract. The main purpose of this study was to identify different segments of visitors attending RV and camping shows based on the underlying dimensions of their motivations. A total of 411 attendees to four RV and camping shows conducted in Michigan during 2005 were surveyed. Factor analysis performed on the motivations for attendance showed five underlying dimensions for show attendance while subsequent k-means cluster analysis distinguished five segments of visitors. Chi-square and ANOVA tests revealed that these market segments are significantly different regarding their purchase cycle stage, product usage, and show behavior. Recognition of different types of show customers have important marketing implications, especially regarding customer retention and market development, which this article discusses.
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 | 0.001 | 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) | 0.001 | 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