Using an information ecology approach to identify research areas: Findings from Lithuania
Bibliographic record
Abstract
The material presented in this report is related to the experiences and findings of exploratory fieldwork activities carried out in Lithuania for the Global Impact Study of Public Access to Information and Communication Technologies. The main objectives of this exploratory fieldwork are related to collection of background information and data on practices of usage of public access to ICTs on the basis of which research questions could be generated. Also, this activity has objectives of piloting both certain research approach and instrumental aspects of research development. The activity was both descriptive and exploratory. Having in mind the overall objectives of the project the following research questions were formulated for this initial phase: - What role(s), that public venue ICTs play in the communities of users, can be identified at present? What problems are visible in their operation? - Are there any obvious differences in the ways of operating and using the public access ICT in different sites (e.g., rural/urban, solitary/one of several, big city/small town, library/internet café, etc.)? - Who are the main users of the public ICTs? What are their purposes and practices of using public access ICT’s? - What is the general information usage context, into which the public ICTs use is embedded? The general approach of the exploratory research emphasize the phenomenological approach towards the measuring social impact of public access to ICT aiming at disclosing the affect to experiences of individuals and communities.
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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 | 0.015 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".