Notes Towards an Integrative Agenda and Community Informatics Theory
Bibliographic record
Abstract
Research is at the very core of Community Informatics; and the basis of CI research is a recognition of the dialectical role of networked communities within the contemporary environment. Where once communities were a necessary and taken for granted element of lived society isolated in themselves and only with precarious links to the outside world, in the modern world it is the external environment which is pervasive and communities exist precariously and in seized and struggled for spaces within and between globally pervasive and invasive electronic networks. The “Wal-Mart” effect as a model of how the “new economy” and the new technology environment is being deployed is one where there is little space for community and where communities only exist through an act of assertion, will and ultimately struggle and notably a struggle against almost overwhelming odds. That there is an ever-extending structure of such networks both parallel and interconnected through e-governments, ecommerce systems, e-learning structures is a condition of our time and provides the framework and the backdrop for the development of Community Informatics as a critical discipline and for Community Informatics research as one of the tools in these overall efforts in responding to and resisting these encroachments.
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 | 0.032 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.011 | 0.075 |
| Scholarly communication | 0.018 | 0.040 |
| Open science | 0.004 | 0.020 |
| Research integrity | 0.008 | 0.016 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".