Bibliographic record
Abstract
Welcome to the 15th Issue of the Journal of Aboriginal Economic Development (JAED).Honouring the tradition of meeting the needs of our readers and Cando members, this issue highlights community-based success stories while making visible current research on maintaining and enhancing strong Indigenous communities and economies.Since its inception in 1999, JAED has provided a broad-based update of the diverse and ever-changing aspects of Aboriginal economic, community, and business development and enhancement.This dialogue continues in this issue through shared stories, as well as the critical analyses of advances occurring in Aboriginal communities and businesses across Canada and around the world.In this issue, readers will be invited to read articles on governmental relations, Indigenous leadership, the ever-inspiring stories of Aboriginal youth, the celebration of community, the clarification of advances in business models of development, and Indigenous tourism.While the majority of the past 14 issues of JAED have represented the diverse work occurring in Aboriginal economies, from time-to-time Cando and JAED has provided an in-depth look into specific and current issues.For example, Volume 2/Issue 2 was dedicated to a review and analysis of Aboriginal gaming in Canada.The next issue of JAED (Volume8/Issue 2) has been dedicated to exploring the specific topic of "On-Reserve Property Rights and Development and Management," as a response to current national debates that focus on collective and communal property rights versus the increasing calls for privatization.The issue will explore the First
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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 | 0.011 | 0.088 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.016 | 0.016 |
| Insufficient payload (model declined to judge) | 0.103 | 0.056 |
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".