TEACHING NOTE: We Built It, Now Will They Come? bOK Systems Corp.
Bibliographic record
Abstract
SYNOPSIS: bOK Systems Corp., a Canadian start-up based in Ottawa, Ontario, has successfully been able to develop and test its product in the market but is looking to 'take it to the next level' and increase the adoption of its service amongst the masses. The team is facing challenges such as a lack of time and money; if only Aydin Mirzaee and his venture team could devote their entire energy and attention to the company. Two of the main developers (Aydin's brother Amin Mirzaee and Samuel Cormier Iijima) are full-time undergraduate students at McGill University, the other one (Pooya Eslamdoust) is studying at Humber College (see Case Appendix A). Aydin himself is a full-time employee at a large multinational telecommunications company-which is how the company is currently funded. It is October 2007 and the venture team has several dilemmas to work through. Among them, it is having trouble raising money for its venture partially because of the lacklustre investment climate in Canada and the competitive environment overall. The team is considering multiple alternatives that are detailed below-such as focusing full-time on bOK (i.e., quitting all other efforts), bringing in an external CEO, moving away from offering the service/product for free, to outright sale or abandonment of the venture.
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 | 0.011 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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".