Bibliographic record
Abstract
Interest in open access (OA) to scientific publications is steadily increasing, both in Norway and internationally. From the outset, FORMakademisk has been published as a digital journal, and it was one of the first to offer OA in Norway. We have since the beginning used Open Journal Systems (OJS) as publishing software. OJS is part of the Public Knowledge Project (PKP), which was created by Canadian John Willinsky and colleagues at the Faculty of Education at the University of British Columbia in 1998. The first version of OJS came as an open source software in 2001. The programme is free for everyone to use and is part of a larger collective movement wherein knowledge is shared. When FORMakademisk started in 2008, we received much help from the journal Acta Didactic (n.d.) at the University of Oslo, which had started the year before us. They had also translated the programme to Norwegian. From the start, we were able to publish in both Norwegian and English. Other journals have used FORMakademisk as a model and source of inspiration when starting or when converting from subscription-based print journals to electronic OA, including the Journal of Norwegian Media Researchers [Norsk medietidsskrift]. It is in this way that the movement around PKP works and continues to grow to provide free access to research. As the articles are OA, they are also easily accessible to non-scientists. We also emphasise that the language should be readily available, although it should maintain a high scientific quality. Often there may be two sides of the same coin. We on the editorial team are now looking forward to adopting the newly developed OJS 3 this spring, with many new features and an improved design for users, including authors, peer reviewers, editors and readers.
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 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 | 0.095 | 0.165 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.048 | 0.119 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.108 | 0.034 |
| Open science | 0.037 | 0.010 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".