A Personal Information and Knowledge Infrastructure Integrator
Bibliographic record
Abstract
The Next Big Thing is being grown organically, cultivated by software developers and pruned by personal Weblog publishers. The rising Weblogging space of the Internet is looking more like traditional hypertext than the Web of the 1990s. The ways in which Weblogging has evolved beyond the previous limitations of the Web as hypertext, and the ways Weblogging is evolving towards common-use hypertext destined to play a critical role in everyday life, will be explored. We have a vision of a universal information management system built on extending the traditional hypertext framework. In our utopian future, everyone will use tools descended from today's blogs to structure, search and share personal information, as well as to participate in shared discussion. We begin by expressing a vision of common-use hypertext for information management and interpersonal communication. This vision is grounded in the rapid evolution of Weblogs and known issues in information systems and hypertext. The practical implications of who will use these systems, and how, is expanded as usage scenarios for Weblogs now and in the future. After recapping the current issues facing the Weblogging community, we look to the long-range implementation issues with optimism. Our system is forward-looking yet realistic. The activities the system will support are extrapolated from recent developments in the online community, and most of the sketches of implementation are based on current approaches. It is of more than passing interest that the features we extrapolate were all described by Nelson as early hypertext ideals. Of particular interest is that the features are now being implemented because of perceived immediate need by communities of interest. 1
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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.011 | 0.020 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.111 | 0.055 |
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".