Fedora Unleashed, 2008 Edition : Covering Fedora 7 and Fedora 8
Bibliographic record
Abstract
Fedora Unleashed, 2008 Edition presents comprehensive coverage of Fedora 8, the popular Linux distribution developed by the Red Hat-sponsored Fedora Project. This book provides detailed information on installing, using, and administering Fedora. Youll learn how to set up a desktop workstation or a high-powered server, and youll find complete details on Yum, Fedoras easy-to-use desktop and productivity software.Fedora Unleashed, 2008 Edition covers a wide range of topics, from using the software you need every day for work, such as the OpenOffice.org productivity suite and the Firefox web browser, to configuring your Linux desktop to run smoothly using multiple printers, shell scripts, and more. Install and configure the Fedora 8 Linux distribution Manage Linux services and users Run a printer server with CUPS Connect to a local network and the Internet Set up and administer a web server with Apache Secure your machine and your network from intruders Rebuild and install a new Linux kernel Learn shell scripting Run other operating systems on Fedora with Xen Share files with Windows users using Samba Get productive with OpenOffice.org Play games on Linux Use Linux multimedia programs Use a database with Fedora Set up a firewall Set up a DNS server Work with the X Window system Learn Linux programming (including Mono) Fedora 8 on DVD: DVD includes the Fedora 8 binary distribution with all the base Fedora packages plus hundreds of additional programs and utilities. Free Upgrade! Purchase this book anytime in 2008 and receive a free Fedora 9 Upgrade Kit by mail (U.S. or Canada only) after Fedora 9 is released. See inside back cover for details.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.177 | 0.219 |
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".