Preface: 2nd International Conference on Economic Management and Corporate Governance (EMCG 2022)
Bibliographic record
Abstract
The 2022 2nd International Conference on Economic Management and Corporate Governance (EMCG 2022) was held in Montreal, Canada from August 27 to 28, 2022 as a virtual conference due to the growing concerns over the coronavirus outbreak (COVID-19), and in order to protect the well-being of our attendees, partners, and staff. EMCG 2022 brings together more than 90 national and international researchers from industry, government, and academia. We invited submissions of papers on all topics related to economic management and corporate governance. The conference provides networking opportunities for participants to share ideas, designs, and experiences on the future directions. The conference will feature a high-quality technical & experiential program dealing with a mix of traditional and contemporary hot topics in paper presentations and high-profile keynotes. The conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 10-15 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-40 minutes to hold their speeches. We invited four professors as our keynote speakers. Their insightful speeches had triggered heated discussion in the third session of the conference. The EMCG 2022 proceedings are a compilation of the accepted papers and represent an interesting outcome of the conference. All the papers have been through rigorous review and process to meet the requirements of international publication standard. We would like to acknowledge all of those who supported EMCG 2022. The help and contribution of each individual and institution was instrumental in the success of the conference. We would like to thank the technical committee for its valuable inputs in shaping the conference program and reviewing the submitted papers. The Organizing Committees of EMCG Montreal, Canada
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.221 | 0.133 |
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".