Bibliographic record
Abstract
Use cross-platform applications and shared data for the ultimate Linux/Windows system. I recently converted my Toshiba notebook computer into a dual-boot system, running Windows XP Pro and Ubuntu Linux. I was hoping I'd be able to use cross-platform applications such as Mozilla Firefox, Mozilla Thunderbird, AbiWord, Gnumeric and SciTE transparently, no matter which operating system was currently booted. This article describes the steps I took to make this possible. Dual-Boot Computer Configuration for Shared Application Data In what follows, I assume you already have a dual-boot computer that has a working Linux and Windows operating system installed. You also must have an adequately sized additional disk partition for storing shared application data. This partition must be readable and writable by both operating systems. FAT32 (VFAT) is the logical choice. My notebook came with Windows XP Pro installed on a 30GB hard drive. The computer was well used, its disk nearly filled, before I decided to convert it to a dual-boot system. I offloaded lots of data, and used the Windows defragment program to reduce my total Windows size below 15GB. Then, I used utilities on the Linux System Rescue CD to resize the original Windows partition and make new partitions as follows: Partition 1: Windows NTFS primary partition, 18.5GB. Partition 2: Linux ext3 primary partition, 5GB. Partition 3: Linux swap partition, 1GB. Partition 4: FAT32 partition for shared application data, 5GB. Making a dual-boot system with only 30GB of total disk space is not ideal. My shared application data partition was 80% full once I loaded my archived e-mail, working documents and various ongoing cross-platform software development projects. For a more ideal setup, I recommend at least 60–80GB of disk space. In that case, I'd allocate 20GB for Windows, 10GB for Linux, 1–2GB for Linux swap and make the remainder the FAT32 shared partition. Configuring and Accessing the Shared Disk Partition Windows views a FAT32 partition as a separate disk drive and assigns it a drive letter. The letter assigned depends on what storage devices are connected to the system—for example, floppy or The Ultimate Linux/Windows System http://0-delivery.acm.org.innopac.lib.ryerson.ca/10.1145/1140000/11... 2 of 9 8/27/2007 6:38 PM CD/DVD drives. On my system, Windows identifies the FAT32 partition as drive E:. Use Windows Explorer to verify the Windows drive letter for your FAT32 partition. When I installed Ubuntu Linux, I selected mounting the FAT32 partition at boot time, using the mountpoint /share. After Linux boots, you can verify that the FAT32 partition is mounted with the UNIX df command (Listing 1). Listing 1. UNIX df Command Showing Mounted /share Partition kevin@lyratoshibaubuntu:~$ df -k Filesystem 1K-blocks Used Available Use% Mounted on /dev/hda2 5036316 1748816 3031668 37% tmpfs /dev/shm 184936
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.114 | 0.258 |
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".