Pengelolaan tata arsip di dinas kearsipan dan perpustakaan daerah Kabupaten Karanganyar
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
<p dir="ltr"><span>This study aims to determine: (1) The implementation of archive management at the Regional Archives and Libraries Office of Karanganyar Regency. (2) Obstacles faced in archive management at Regional Archives and Libraries Office of Karanganyar Regency. (3) What efforts will be made to overcome obstacles encountered in records management in the Regional Archives and Libraries Office of Karanganyar Regency? This research is qualitative research with a case study approach. The data sources used in this study are informants, places and events, and documentation by using purposive sampling technique. Techniques for data collection of interviews are observation and analysis of documents. They are testing data validity in the form of source and method triangulation. Then, interactive analysis model data analysis techniques are used. The results of the research: (1) The implementation of archive management at the Regional Archives and Libraries Office of Karanganyar Regency includes receiving, recording, storing, maintaining, shrinking, and destructing archives. (2) The obstacles faced in archive management at the Regional Archives and Libraries Office of Karanganyar Regency are limited facilities and infrastructure to support archival activities and the lack of human resource</span></p><div><span><br /></span></div>
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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 it