Ten strategies for survival in the attention economy
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
Vying for the attention of the time‐challenged, choice‐saturated consumer characterizes the thrust of competition for the coming five years. There will be a continuing explosion of new technologies and new ways to connect electronically. For the foreseeable future, demands for the consumer’s attention will continue to escalate. Consumers will gravitate to trusted brands to manage and filter the bombardment of choices. In the attention economy, therefore, consumers exert greater power to shape content and experiences. In response, companies will need to deploy a much more sophisticated electronic infrastructure to respond and, will also market to ever‐smaller, more finely targeted segments. Successful brand‐owning business models will form collaborative alliance networks. Development will center on strategies that capture the attention of selected targets through deep responsiveness to the consumer’s experience of the brand, and on new business models that respond proactively to the rise of digital media.
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 | 0.000 |
| 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