May 2018 Government of Canada Open Source Software And Security Panel
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
Open Source Software and Security panel - Government of Canada To follow up on the popular and engaging Armchair Discussion on open source software in October 2017, the School is pleased to offer another session on this timely and important topic. The previous session generated many questions about the security of open source software, the myths surrounding their use and the release of open source code. With the Government of Canada moving towards open standards for data and communications, these are significant issues in the information technology landscape. Join us to hear from public service experts who will address your questions, share their experience and offer their recommendations on how to debunk the cybersecurity myths related to open source software. Event Information This learning activity is designed for all public servant groups and levels and is offered at no cost. Location : Ottawa Date and Time : May 1, 2018 | 1:30 pm to 3:00 pm (EDT) Speakers : John O'Brien, Senior Information Security Advisor, Canadian Digital Service Po Tea-Duncan, Director for Strategy and Architecture, Cyber Security, Chief Information Officer Branch, Treasury Board of Canada Secretariat Moderator: Stéphane Cousineau, Deputy Director, Corporate Management Services Sector, and Chief Financial Officer, Financial Transactions and Reports Analysis Centre of Canada Information: http://www.csps-efpc.gc.ca/ csps.learningevents-evenementsdapprentissage.efpc@canada.ca Originally published at https://listes.koumbit.net/pipermail/forum-facil.qc.ca/2018-May/005857.html This media is made available here in free format (Webm/Ogg Theora) for the purposes of private study, research and education, when the original format and its presentation made it difficult or impossible to consult it offline with free open source software.
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) | 0.057 | 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