Bibliographic record
Abstract
[...]Floor The focus of the second floor will be creating spaces of engagement and embedding Indigenous art and design from the reception area to the offices, and with a focal piece in the event space. [...]Floor The third floor is accessible to members and is isolated from noise by any activities on the second floor, including the event space, by a catwalk with floor to ceiling windows. The following are some of the key elements that consultations with Indigenous communities and business leaders have identified as desired components of the ICIE; however, in the spirit of self-determination, these elements will be reviewed, built upon, and refined by the Indigenous-led operator once it assumes responsibility for the facility and its programming: * Support Indigenous entrepreneurs in Toronto, Ontario and beyond through coaches and mentors, and spaces for work collaboration and special events that align with Indigenous values and cultures. * Be a leading centre of accessible online learning supporting Indigenous entrepreneurs regardless of their stage of growth or venture type (for-profit, not-for-profit, social venture, etc.). * Provide a space that facilitates and encourages cross-community and cross-market-sector (Indigenous and non-Indigenous) engagement focusing on economic empowerment that leads to a better understanding of Indigenous culture and increased economic opportunities. * Provide youth with an opportunity to explore their entrepreneurial aspirations through learning programs, coaching, and mentorships. * Help navigate funding sources and build financial skills to manage a business. * Combat feelings of isolation by creating a place that fosters a sense of community for Indigenous entrepreneurs.
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 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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.351 | 0.127 |
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".