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Record W4308314555 · doi:10.54691/bcpbm.v31i.2257

Preface: 2nd International Conference on Economic Management and Corporate Governance (EMCG 2022)

2022· article· en· W4308314555 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBCP Business & Management · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSecurity, Politics, and Digital Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceGovernment (linguistics)Session (web analytics)Political scienceOrder (exchange)Public relationsLibrary scienceManagementBusinessComputer scienceWorld Wide WebEconomics

Abstract

fetched live from OpenAlex

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

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.833
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.051
GPT teacher head0.283
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it