Bibliographic record
Abstract
Another semester has come to a close at the Faculty of Information, and The iJournal team has been hard at work over the past four months preparing for the publication of the Winter 2024 issue.When the team was not reviewing and editing submitted manuscripts, creating social media graphics, or writing for our monthly newsletter, For Your Information, we were out and about in the faculty, showcasing The iJournal at the Post Offer Reception for newly admitted students and supporting our recently published authors who presented their work at the 2024 iConference.With such a busy year, it is important to take time to reflect on how we have grown over the past eight months.The team itself grew in size, with an expansion of both the editorial and communications teams, but as an organization, we also grew in our presence in and outside of the Faculty of Information.At the various events throughout the year, we were able to meet and speak with current, incoming, and prospective students pursuing their interests in information and museum studies about the opportunity to work or publish with The iJournal.This was also our first full year of accepting submissions from programs from all across Canada, and with the addition of For Your Information with an international subscriber base, it is exciting to see the reach the journal has achieved in such a short period of time.As this is my last year with The iJournal, I am eager to see what the team will continue to accomplish in the years to come.In this issue, I am thrilled to present another collection of rich and engaging articles covering a wide variety of topics.The issue opens with Cay del Junco's article, "Knowing These Stories" which investigates how participants in electronic dance music scenes seek knowledge about the scenes' political, historical, and social contexts.Next, in Where Are the Scientists?, Charles J. Woodford conducts a critical literature review on the motivations of students with science backgrounds entering Master of Library and Information Science/ Studies programs in Canada, followed by Risa de Rege's in-depth examination
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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 | 0.003 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.041 | 0.033 |
| Insufficient payload (model declined to judge) | 0.018 | 0.016 |
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".