Real stories of small business success : successful, small scale, manufacturing from five European island regions : a training manual
Bibliographic record
Abstract
The support of the European Commission, through its Leonardo da Vinci Community Vocational \nTraining Action Programme, in this ongoing pilot project- MT/2002/B/F/139000- is gratefully \nacknowledged. This manual has been compiled by University of Malta Professor Godfrey \nBaldacchino (the NISSOS Project ideator and academic coordinator) with the kind support of the \nproject’s 11 institutional partners, their delegates and associated support staff involved in the NISSOS \nProject. These are: Estonia Chamber of Commerce and Industry-Saaremaa Branch (Delegate: Tullio \nLiblik); Kuressaare College at Tallinn Technical University (Maret Pank); Åland Trade Association \n(Mika Lindfors & Johnny Mattson); Åland Polytechnic (Anna-Lena Freman, Christer Kullman & \nThor-Bjorn Wik); Technological Institute of Iceland (Bjorn Gislason); Institute of Business Studies at \nthe University of Iceland (Gylfi Dalmann Adalsteinsson); Foundation for Human Resources \nDevelopment, Malta (Helga Ellul, Mario Grixti, Godwin Micallef, John Muscat Drago); Malta \nEnterprise (Karl Herrera); University of Malta (Roger Ellul Micallef, Saviour Rizzo); Malta College \nfor Arts, Science and Technology (Frank Edwards); the Highland Council of Scotland (Catriona \nMaclean; Lisa Stephen) and the UHI Millennium Institute, Scotland (Maggie Marr; Anne Marie \nMcDairmid, Stephanie Tristam). Thanks also to the expert independent input of Joe Vella Bonnici \n(Malta), Ingi Runar Edvardsson (Iceland) and Tage Petersen (Denmark). The institutional support of \nthe University of Prince Edward Island, Canada, is also acknowledged. \nResponsibility for the contents of this manual and any errors are those of the author and are not \nattributable to the European Commission or any of the specific NISSOS Project institutional partners.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".