A tetradic analysis of GIS and society using McLuhan's law of the media
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The social implications of GIS have been debated over the past five years among scholars in several disciplines. GIS have been either conceived by practitioners as value‐free, neutral tools for problem‐solving or castigated by critical social theorists as socially biased technologies serving only corporate and state interests. Neither of these polarized views is very helpful in understanding the complex relationship between GIS and society. This paper argues that GIS are increasingly becoming media for communicating various crucial social and environmental information to the general public. By reconceptualizing GIS as media, the paper conducts a detailed tetradic analysis on the social implications of GIS using Marshall McLuhan's law of media. The analysis reveals the paradoxical and ambivalent nature of GIS technology. To make GIS fulfill democratic ideals in society, this paper calls for a shift of perspective, from viewing them as instruments for problem‐solving to viewing them as media for communication. This shift from instrumental to communicative rationality enables us to examine more critically and holistically how space, people and environment have been represented, manipulated and visualized in GIS and thus promotes a more critical and democratic GIS practice .
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.017 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it