Governance in the multimedia cluster of montreal
Bibliographic record
Abstract
The multimedia sector is one of the high-tech sectors that has contributed greatly to revitalizing the economic base of the Montreal region. A relatively young sector, which may be described as post-industrial, it has created high expectations as to its capacity to create jobs and economic wealth. Its many applications have created visions of sustained growth, arousing the interest of many public and private actors in the sector. The sector has fulfilled its promises in part and met a number of expectations, to such an extent that for a number of years it actually experienced labour shortage, raiding of workers, high wages, the creation of many firms and significant interest on the part of the financial community (Tremblay, 2002, 2004; Tremblay et al., 2002) . In short, for a few years the sector was an unqualified success.This paper will examine the mechanisms of governance set up by actors in the Montrealregion in order to build the foundations of a new industry. We will also see thatgovernance has evolved over the years according to information and changes in theenvironment and involves a diversity of actors.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".