From Associations To Info-Sociations: Civic Associations And ICT In Two Asian Cities
Bibliographic record
Abstract
Civic non-profit associations are experimenting with Information Communications Technologies (ICTs) as tools for transforming their work. The hybrid “info-sociation” concept—combining information and association—is introduced here for studying ICT-linked transformations. An info-sociational diagnostic supports comparisons of ICT praxis at civic associations in Hong Kong and Taipei, including transformations in: governance; organizational and participatory practices. These case studies also explore how civic environmentalists are experimenting with ICTs, including: green new media; map mash-ups for urban monitoring; digital storytelling; and e-platforms for public participation. The working diagnostic introduced in this paper serves three ends: 1) studying the shift from associations to info-sociations; 2) comparing civic strategies for ICT uses; and 3) theorizing about the co-evolution of local civic associations and ICTs.
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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 | 0.004 | 0.004 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".