Bibliographic record
Abstract
Welcome to the ninth issue of the Journal of Aboriginal Economic Development (JAED).In this issue we continue to celebrate the success of those individuals and communities involved in supporting and promoting effective and innovative projects and ventures in Aboriginal economic, community, and business development.Although the themes in this issue essentially reflect the same ones that have been highlighted and profiled over the previous eight issues, the additional stories featured in this issue remind us once again that positive change is occurring, and that individuals, communities and organizations are benefiting from the hard lessons and experiences shared by those involved in earlier projects and stories that we have published.The interest in the Journal of Aboriginal Economic Development is growing as well as broadening.It now includes an urban, governmental and international following.The stories included in this issue of JAED reflect that growing interest, and other experiences further confirm this expansion.We are becoming referenced in academic work occuring around the world.For example, earlier in the year, a student studying at Cambridge University in England wrote to us for materials from our journal.As well, those of us involved in the generation and publication of this journal continue to receive enquiries about our publication, and authors are referencing our articles in their research more than ever before.The journal is being utilized in courses and programs across Canada that specialize in Aboriginal economic development and business, and organizations and individuals are now back-ordering previous issues and adding the entire set to their libraries.Front line economic development officers have also benefited from the useful information disseminated by the journal, which has become part of the registration package for all participants at CANDO's 11th, and 12th National Conference and Annual General Meeting.
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.
How this classification was reachedexpand
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 | 0.001 | 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 | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".