Bibliographic record
Abstract
Welcome to the 14th issue of the Journal of Aboriginal Economic Development.Following the tradition of meeting the different needs of our readers, this issue contains community-based success stories and current research on the best practices in Aboriginal economic development.This is achieved by providing a critical analysis of the multi-faceted aspects of Aboriginal economies.The stories and research papers examine many of the challenges and opportunities we face in this ever-changing global economy.The articles discuss the important and varied connections that the natural environment, culture, public and private institutions, civil society, and the social economy have with Aboriginal economies.In our Learning from Experience section, we celebrate the success of individuals and communities including the 2010 Economic Developer of the Year Award Winners -Chippewa Industrial Developments Ltd., Tribal Wi-Chi-Way-Win Capital Corporation, and Rodney W. Hester.We also illustrate an example of an effective Aboriginal community economic development initiative by featuring Neechi Foods, a Winnipeg co-operative.Next, the Lessons from Research section offers six research papers.The papers deal with several aspects of sustainable economic development, reflecting the need to foster a set of attitudes and values that builds on economic and community development with Indigenous Knowledge and theory.In this section we are able to better understand how Aboriginal economies relate to corporate activities and government policy.These articles also remind us of the importance of women, children, the natural environment,
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 | 0.001 | 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) | 0.001 | 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".