Information Environment Mapping
Bibliographic record
Abstract
A research methodology called Information Environment Mapping (IEM) was developed for use in the Community Intermediaries Research Project (CIRP). The CIRP was a study of the role of information and communication technologies (ICT) in community organizations that provide social services in the form of intermediation between community members and governmental and private sector organizations. One aspect of the CIRP was to understand the use of ICT in problem solving performed by community intermediary staff. Pilot studies suggested that people often find creative solutions to everyday problems that may not be obvious to those outside of their organizations or lines of work. The IEM methodology was developed in order to create a problem-solving environment for use in the CIRP in which respondents were encouraged to reveal unique perspectives on their information needs and any creative responses they employ to deal with challenges they face in getting at and using information. This methodology was adapted from a human-computer interface evaluation technique called cognitive walkthroughs. This paper provides and overview of the IEM methodology.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".