The importance of open access to scholarly scientific knowledge, science advice and national science advice mechanisms in building trust in science
Bibliographic record
Abstract
In recent years, UNESCO has played a leadership role in promoting open science. The 2021 Declaration on Global Open Access to scientific publications is a prime example of this commitment. UNESCO has championed the notion of immediate and cost-free access to scientific literature, often referred to as the ‘Diamond model’, where neither the authors nor the readers bear any costs. The Diamond model is one among many with other examples of open access being developed in various parts of the world. Several nations and organizations have adopted open access policies using a diversity of models. Quebec’s Research Fund (FRQ) signed the Declaration on Research Assessment (DORA) and actively supports Coalition S, advocating for free access to scientific publications in all languages independent of the open access model. While these efforts are laudable, they remain insufficient. We must move to the next phase: measuring compliance and understanding the impact of open access initiatives. Open access is still not secured and policy support to all and any open access model still needs to be implemented by many governments, funders, and institutions that still allow the use of public funds to pay for closed and paywalled science. <br> <br> For the Full Context Please Click Here
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 | 0.086 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.046 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.074 | 0.061 |
| Open science | 0.029 | 0.009 |
| 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".