The Emergence and Development of a Regional Living Lab: The Case of San Luis, Argentina
Bibliographic record
Abstract
The article describes the results of a field research on the characteristics and reaches of the Digital San Luis Program (San Luis Digital, SLD) promoted by the provincial government and in which the municipalities have been actively involved. The paper focuses on the use of information and communication technology (ICT) in the social innovation processes promoted by the Provincial Government through agreements with other social actors. Through the analysis of the SLD paradigm, the paper develops the hypothesis that the Province is an actual living lab. The research methodology was mainly meta research, i.e. the integration of models, theories, data and information from various local and international sources, validated with input from field surveys made ad-hoc in San Luis province by the Provincial Directorate of Statistics and Censuses. The scope and impacts were studied in 10 municipalities of the province through 108 interviews with leaders, participants and beneficiaries of San Luis Digital: responsible for programs, employers, providers, mayors, directors of schools, teachers, members of community organizations, teachers college, students, users of cyber AUI, centres of Digital inclusion, etc., and institutions or partners or recipients of San Luis Digital programmes. After analyzing the characteristics of San Luis Digital paradigm, the article describes its achievements.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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; a candidate call from one teacher head, 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".