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Record W7011792236

2nd International Conference on Business at BracU

2019· other· en· W7011792236 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

VenueBRAC University Institutional Repository (BRAC University) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPresentation (obstetrics)Theme (computing)PreparednessInternational businessEvent (particle physics)PoliticsScale (ratio)
DOInot available

Abstract

fetched live from OpenAlex

Eduvista Desk2nd International Conference on Busin ess at BracU Existing Bangladesh's stakeholders' preparedness in industry 4.0 will shape how they are remembered by future generations, said Anis Ud Dowla, chairman of ACI Group, on Friday.The scale of tech jobs will be overwhelming having economical, political and societal impacts, while many traditional jobs will give way to those suited to the day, he said during a keynote presentation at a 2nd International Conference on Business and Management 2019 (ICBM).Brac University's (BracU) Brac Business School (BBS) organised the three-daylong event bearing the theme "Industry Focused Global Research Trends in Business and Management" at The Westin Dhaka.Addressing as a special guest, BracU Vice-Chancellor Prof Dr Vincent Chang said the conference was useful platform for sharing ideas and pairing current dynamics for it was an era of economic transformation.BracU committed to forming a global portfolio, he said, urging the conference's foreign participants to enjoy Bangladesh, citing that it was one of the dynamic and hospitable countries.The conference included nine invited and eight industry's prominent academicians and industry practitioners.Four keynote presentations and 24 parallel sessions connecting about 250 participants, including over 40 delegates from Taiwan, Malaysia, Indonesia, Singapore, Thailand, Nigeria, India, Sweden and Canada were took part at the event.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.448
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.012

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 head0.019
GPT teacher head0.203
Teacher spread0.184 · 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