Bibliographic record
Abstract
The European Journal of Applied Business and Management (EJABM) publishes its Special Issue in November 2018, with papers selected from the International Conference of Applied Business and Management (ICABM2018) which was held at ISAG - European Business School, Porto, during the days 21 and 22 of June 2018.The ICABM2018 was the stage for presentations of excellent works in the areas of applied business and allowed to link between the academia and practices. The members of the Organizing Committee of the ICABM are deeply thankful for all the researchers for attending the conference. We had almost a hundred oral presentations and more than 120 participants from different countries (Brazil, Canada, Mauritius, United States of America, Portugal, Spain, Turkey, among others), being made by the authors articles in English, Portuguese and Spanish. The Special Issue of ICABM2018 includes 21 articles presented at the conference and were evaluated by a double blind system, covering different areas of management. The reader will have online access to the articles in the scope of Accountancy, Finance, Marketing, Social Responsibility, Human Resources, Tourism and Hospitality Management. We invite all the researchers and those interested to read this edition, with original empirical and theoretical research articles.We are deeply grateful to consider the EJABM for reading and publishing your research. The next issue of EJABM will be coming out in the next month. Sincerely,Ana Pinto Borges, PhDElvira Vieira, PhDEditors, European Journal of Applied Business and Managementejabm.isag@gmail.com
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.
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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.017 | 0.007 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.236 | 0.162 |
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".