Bibliographic record
Abstract
Welcome to Volume 7, Number 1 of the Journal of Aboriginal Economic Development.This 13th issue of JAED marks another first for the journal.During this past year, the first eight issues of JAED were made available on-line, providing free access to readers, students, community change agents, EDOs, researchers, and writers.The on-line issues span a 10-year period from 1996 to 2005 and include many unique stories and research on Aboriginal economic development in Canada, and around the world.The on-line issues are available through the Indigenous Studies Portal (iPortal) at the University of Saskatchewan.The Indigenous Studies Portal Research Tool, as it is also called, may be accessed through the following link: .According to its site, the iPortal connects faculty, students, researchers, and members of the community with electronic resources: books, articles, theses, documents, photographs, archival resources, and maps.The Indigenous Studies Portal is an initiative of the University of Saskatchewan Library.As of March 2010, the iPortal had more than 21,000 records, including the "Our Legacy" archival records.This contains photos, anthropological field notes, diaries, correspondence, and other textual documents.The iPortal website not only provides links to Indigenous programs and events at the University of Saskatchewan, it also offers specialized tools for teaching and scholarship for anyone interested in Indigenous studies in Canada.For our readers of JAED and members of CANDO, the iPortal website provides links to a vast array of resource materials related to business and community development.The digitization of JAED, which will include additional issues over the next few years, is yet another way CANDO and Captus Press are attempting to better serve the needs of community EDOs, business leaders, government managers, researchers, and students.Of xi
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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 | 0.012 | 0.107 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.012 | 0.011 |
| Insufficient payload (model declined to judge) | 0.225 | 0.155 |
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".