Open and Shut: Open Access in Hybrid Educational Technology Journals 2010 – 2017
Bibliographic record
Abstract
Little is known about open access publishing in educational technology journals that employ a hybrid model which charges authors only if they wish to publish via gold open access. In this study we sought to address this gap in the scholarly understanding of open access publishing in hybrid journals that publish research into the intersection of education and technology. We analysed three categories of article access types: gold, green, and limited access, and collected data on their prevalence in the seven-year period from 2010-2017 across 29 journals. Data was gathered from Scopus, Unpaywall, Sherpa RoMEO, and via manual searches of the journal websites, resulting in a dataset comprising the metadata of 8,479 articles. Our findings highlight that most research remains locked behind paywalls, that open access publishing through legal means is a minority activity for the scholars involved, and that the complexity and costs of legal open access publishing in these journals may be inhibiting the accessibility of research to 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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.011 | 0.016 |
| Research integrity | 0.000 | 0.001 |
| 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; 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".