A visual tool for structuring and modeling organizational memories
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
Article A visual tool for structuring and modeling organizational memories Share on Authors: Tang-Ho Lê University of Moncton, Computer Science Department, Moncton (NB) Canada E1A 3E9 University of Moncton, Computer Science Department, Moncton (NB) Canada E1A 3E9View Profile , Luc Lamontagne Defence Research Establ. Valcartier 2459 Blvd Pie-XI north, Val-Bélair (Qc), Canada G3J 1X5 Defence Research Establ. Valcartier 2459 Blvd Pie-XI north, Val-Bélair (Qc), Canada G3J 1X5View Profile , Tho-Hau Nguyen Univ. du Québec à Montréal, CP. 8888, succ. Centre-Ville, Montreal (Qc), Canada H3C 3P8 Univ. du Québec à Montréal, CP. 8888, succ. Centre-Ville, Montreal (Qc), Canada H3C 3P8View Profile Authors Info & Claims CIKM '00: Proceedings of the ninth international conference on Information and knowledge managementNovember 2000 Pages 258–263https://doi.org/10.1145/354756.354827Online:06 November 2000Publication History 1citation541DownloadsMetricsTotal Citations1Total Downloads541Last 12 Months3Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
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 | 0.000 | 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