The Northern Voice: Listening to Indigenous and Northern Perspectives on Management of Data in Canada
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
<p class="p1">The Canadian Cryospheric Information Network and Polar Data Catalogue (CCIN/PDC) provide: (1) a trusted archive to store data from Canadian cryospheric research and (2) a public access portal to this information. The CCIN/PDC has since expanded its collection to include data from health, ecological, social, and other sciences. Since its inception, CCIN/PDC has engaged Indigenous and northern Canadians to understand and meet their information needs. This paper describes three instances of such engagement and next steps for enhanced interaction and support. <p class="p3">First, feedback from northern and Indigenous communities led to the development of PDC Lite. Compared to the full-featured online PDC Search application, PDC Lite accommodates slower Internet speeds and allows one to search by particular northern communities. PDC Lite continues to be improved by input from the people that it serves. <p class="p3">Next, to facilitate discussion and strengthen collaborative relationships within the polar data community, CCIN/PDC co-hosted two major meetings in 2015. Emerging from both these events was a need to prioritize what has been termed <em>human interoperability</em> and the need to have Indigenous and northern community involvement at all levels of data management. <p class="p3">Future plans for CCIN/PDC include more effective partnerships in which we work with and listen to northern and Indigenous Canadians to better understand their requirements for data management services and expertise. Our ultimate goal is to provide, through collaboration with partners, data, information, and expertise that facilitate northern and Indigenous Canadians’ access to publicly-archived data and enable and support management of their own data and resources.
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 | 0.004 | 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 | 0.016 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.004 |
| 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