Uso del área de proceso Service Delivery (SD) de CMMI for services, versión 1.3 como guía para servicios en bibliotecas universitarias en el Valle del Cauca
Bibliographic record
Abstract
The university in the Valle del Cauca and the rest of the world , libraries have a changing dynamic , with various proposals to modify the requirements of academic, technological and business world. These demands are guided by compliance with quality models seeking an adjustment to the environment and require a fixed results , in the case of ISO 9000, EFQM model FUNDIBEC , among others. Another way to respond to the new challenges of the university environment , has introduced new paradigms in the management of library services and resources based on technology models , the case of Integrated Learning Centers , Informations Commons and Learning Commons , all country proposals such as America, Canada, England and Spain , where the use of technology to support teaching and learning processes , research and production of knowledge, show alternatives. To achieve the construction of a specific guide to the creation and improvement of academic library services , the basis is the Service Delivery process area or SD of CMMI for Services ( CMMI -SVC ) , the Software Engineering Institute , a used model for software companies , using as base 5 maturity levels , where companies conducted a series of best practices proposed in 24 process areas , to have as a desired result, the scheduled maturity. This process area in particular, to find in it a complete service-oriented basis , responding to technology integration , human, physical and financial resources are chosen. The final result shows an adaptation of the Service Delivery process area of CMM- SVC , the context of university libraries , through a guide that houses the practices proposed by the original model and transforms them into activities using tools and methodologies area of librarianship , management and telecommunications . The application of the generic goals and generic practices are outside the scope and should be part of the institutionalization process , organized by each university.
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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".