The Time and Space of Materiality in Organizations and the Natural Environment
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
In this article, we argue that prior organizations research has contributed to the erosion of the natural environment by failing to discriminate physical materiality from sociomateriality. The time–space attributes of physical materiality are more immutable than sociomateriality, so the compression of time and space in and by organizations is disrupting the cycles of the natural environment. We illustrate this point through the example of carbon markets. The development of futures and other financial derivatives contributes to the compression of time, whereas the movement of capital worldwide contributes to the compression of space. This time–space compression disembodies financial instruments from their physical target, namely, carbon, leading to the distortion of the instrument’s “real” value and hampering carbon emissions reductions. We call for organizational theories that more fully account for physical materiality.
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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 | 0.000 | 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) | 0.001 | 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 it