Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Welcome to the special double issue of IASSIST Quarterly 2021 (IQ vol. 45(3-4) 2021). IASSIST is an acronym. You may think that the word is the contraction of the two words 'I assist'. In my mind, you are right! Whether the word IASSIST or the long explanation of seven words came first is the problem of the chicken and the egg. However, it is undisputed that when it is spelled out, the first I in IASSIST is for International. That has been so from its founding in 1974. Having IASSIST members in USA, Canada, and some (west) European countries was for a long time what we myopic westerners considered to be international. It is with great pleasure that IASSIST Quarterly now presents a double issue from a regional workshop in Africa. Even in 2021, it is only a small number of IASSIST's members who are from regions not part of the western world. However, having a special issue from the African region is an important contribution to making IASSIST truly international. The phrase 'think globally, act locally' is a good framing of the compressed word 'glocal'. This special issue was compiled by guest editors Winny Nekesa Akullo and Robert Stalone Buwule, and they were also behind the Africa Regional Workshop that took place at Makerere University (Kampala, Uganda) on January 11 to 13, 2021. Winny Nekesa Akullo works as Head, Library and Documentation Centre at Public Procurement and Disposal of Public Assets Authority in Uganda, and is the IASSIST Africa Regional Secretary. Robert Stalone Buwule is Senior Assistant Librarian at Kyambogo University, also in Uganda. The themes of the workshop addressed a world issue: 'Data Literacy as a catalyst for achieving Sustainable Development Goals (SDGs)'. Thus, global problems were addressed from a local viewpoint. Great thanks to Winny and Robert for their lead in the arrangement of the workshop and extra thanks to them for collecting, editing, and making the papers of the regional workshop available to us all, and for making the regional international and the local global. Enjoy the reading! Karsten Boye Rasmussen - December 2021
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.
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 | 0.002 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.006 |
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 it