Designing a Cellular Organization: A Case Study of Sense Making at the National Prosperity Gold Production Group Ltd.
Bibliographic record
Abstract
The country of Myanmar opened up to the outside world a little over three years ago. As part of that process, many of the industries in the country changed hands from state owned to private. Such was the case with large-scale gold mine, which had formerly been explored by a Canadian company with mining experience and restored under the government to indigenous control. In early September 2011, tender bids from citizens were invited for the concession rights of the mine. There had been about 300,000 illegal miners working in the restricted area, but were being kicked out as the new operator took over the mine. There were many challenges, each answered by trial and error of the National Prosperity Gold Production Group. One of the current challenges is to maintain continuous production to fulfil the payment schedule to the government. This case is a constantly unfolding situation of sense making that the National Prosperity is trying its best to successfully operate the mine.
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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 | 0.000 | 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".