The Role of HRM as an Enabler of Creativity: Initial Research Findings
Bibliographic record
Abstract
These proceedings represent the work of contributors to the 18th European Conference on Research Methodology for Business and Management Studies (ECRM 2019), hosted by Wits Business School, University of Witwatersrand, Johannesburg, South Africa on 20-21 June 2019. The Conference Chair is Prof. Anthony Stacey, from Wits Business School and the Programme Chair is Prof. Louise Whittaker, from University of Pretoria. ECRM is now a well-established event on the academic research calendar and now in its 18th year the key aim remains the opportunity for participants to share ideas and meet the people who hold them. The scope of papers will ensure an interesting two days. The subjects covered illustrate the wide range of topics that fall into this important and ever-growing area of research. This year marks the first time the European Conference on Research Methodology for Business and Management Studies has been hosted outside of Europe. We are pleased to take the conference on tour to South Africa in order to facilitate a wider and more diverse range of participants. The opening keynote presentation is given by Prof. Dan Remenyi, who is extraordinary professor at the University of the Western Cape, on the topic of Being a Successfully Published Academic Researcher. The second day of the conference will open with an address by Dr Jayshina Punwasi, Clinical Manager at the Helen Joseph Hospital in Gauteng, who’s talk is entitled From Clinician to Researcher to Manager: The Practical Application of Research Methodology. With an initial submission of 129 abstracts, after the double blind, peer review process there are 42 Academic research papers and 3 PhD research papers published in these Conference Proceedings. These papers represent research from Australia, Bahrain, Cameroon, Canada, China, Czech Republic, Denmark, Estonia, Ireland, Netherlands, New Zealand, Poland, Portugal, Romania, South Africa, Spain, United Kingdom, United States of America and Zimbabwe.
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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 | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".