Targeting the CANZUS baby boomer explorer and adventurer segments
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 world’s 90 million post-war baby boomers set the stage for some very fruitful international marketing efforts in adventure travel and educational or discovery tourism in the 21st century. Canada, Australia, New Zealand and the United States (the CANZUS countries) have post-Second World War baby-boom generations that together form a cohesive and attractive potential market. But will international tourism marketers recognise that, as baby boomers in the CANZUS populations arrive at their peak earnings and savings years and approach retirement, they present a 21st-century challenge for new product development and marketing strategy in international tourism? This paper profiles three key segments of baby boomers in the CANZUS populations that have the highest likelihood of travelling to discover and learn for self-fulfilment in Australia, Canada, New Zealand and America and to experience soft and hard adventure in these countries. Since all four countries possess an abundance of natural and experiential tourism resources, some tourism product development and marketing strategies are proposed as well.
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 | 0.004 | 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