Author manuscript, published in "Culture and Identity in Knowledge Organization, Montréal: Canada (2008)" Information Filtering as a Knowledge Organization process: techniques and evaluation
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
In this study, we are concerned by a field which represents an intellectual, social, and economic practice, strongly linked to a semi-automatic knowledge organization. lnformational Competitive lntelligence is characterized by two major distinctive features: transition from the classical activity of Information Retrieval to organised lnformation Filtering, then conversion of filtered information into Knowledge to help decision making. In the paper, we first show that information filtering systems may be considered as semi-automatic knowledge organization devices in the business intelligence context. Then, we point out how the technical dimension of the system must be arranged with the user dimension in order to approach a real relevance. Finally, we present the overview of the lnfile evaluation campaign which represents an attempt to validate our approach. 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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.008 |
| 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