Bibliographic record
Abstract
The Future of a Radical Price, Wired magazine editor Chris Anderson explains how the rise of abundance in the world changes what we value -and what we don't.He notes that, "as commodities become cheaper, value moves elsewhere.There's still a lot of money in commodities . . .but the highest profit margins are usually found where gray matter has been added to things." 1 Anderson cites the music industry as a prime example of this shift.Never before has recorded music been so abundant and so easy to consume.It is easier to acquire it through downloading, easier for musicians to provide it to us, and in all respects it is cheaper than ever before.With this rise of abundance, value has moved to the thriving concert business (I blanch at what I paid recently for tickets to hear U2 play in Toronto).Anderson points out that, "Some bands, such as the Rolling Stones, make more than 90 percent of their money from touring . . . .And why not?Memorable experiences are the ultimate scarcity." 2 What do the changing economics of the music industry have to do with becoming an inspiring leader?Simple: the same abundance/ scarcity principle applies to both worlds.Today's business world is awash in communication.Our email inboxes are clogged, our Twitter feeds are ever-refreshing, and our LinkedIn contacts disgorge a daily dose of content.The intensity of most workplaces means more meetings, more conversations, and more interactions than ever before, and more superficial, information-based, jargon-ridden communication.Yet, in today's business world there is also an increasingly scarce commodity: clear, powerful, inspiring communication.As this information overload increases, so too does our need for inspiration.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.180 | 0.040 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".