Bibliographic record
Abstract
Abstract The article presents an outline of the 25-year history of the journal “Reports on Geodesy and Geoinformatics”. The source of information was mainly the journal issues themselves. Attention was drawn to changes that the journal underwent over a quarter of a century and its relationship with the Institute of Geodesy and Geodetic Astronomy and later the Department of Geodesy and Geodetic Astronomy. Many issues were dedicated to materials from Polish conferences - those organised by the Institute and the international ones attended by the employees of the Institute, which was indicated in the section on the history of the journal. The second part of the article concerns the current activity and importance of the journal. Attention was paid to visibility of “Reports on Geodesy and Geoinformatics” in the domestic and foreign databases. Polish databases where the journal is indexed have been identified and briefly described. A separate issue is the evaluation of the journal, which forms a measure of its popularity among consumers. For this purpose, various parameters and biometrics indicators are used. The article used the Web of Science, Google Scholar and the Ministerial List databases for the assessment of the journal.
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 | 0.012 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.038 | 0.045 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.007 |
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".