Bringing researchers and resources together : the Atiku northern and arctic studies portal
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
The goal of this presentation is to introduce a new bilingual information portal for Northern Studies in Quebec, Canada, and describe the challenges and opportunities that arose from the creation of this multidisciplinary, multi-institution web portal. This project has brought together not only the library resources of the three institutions supporting Northern Studies but also the librarians who support these diverse and interdisciplinary researchers across Quebec. Collaboration between the members of the Institut nordique du Quebec (INQ)--a research centre bringing together more than 150 researchers from three universities (Institut national de recherche scientifique, Université Laval, McGill University), and representatives \nfrom Indigenous groups and the public and private sectors--led to the creation of this project. The portal was created to facilitate collaboration between INQ members and for anyonen interested in Northern Studies by bringing together multidisciplinary content from a variety of sources and modes of access (paid and open). It reflects a transdisciplinary approach that is increasingly required in Northern Studies, an approach that seeks to harness the resources and expertise associated with several different fields of study in order to understand a complex issue. The problem of access for non-university users will be addressed, particularly for Indigenous communities and the Quebec government. The librarians supporting Northern \nStudies at these three universities had not previously worked together, and the project allowed for a new collaboration between libraries and librarians. The flexible way in which the project has been developed allows for new institutions and librarians to join.
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