Towards a science of projectification: The application of the project society to Nystrom’s paradigms for the study of human communication systems
Bibliographic record
Abstract
This article proposes an interface between media ecology and project studies. Christine Nystrom’s paradigm for studying human communication systems serves as a bridge, allowing project studies’ concept of the ‘project society’ to be applied to media ecology. The project society, which proposes activity as the driving force behind space, time and relationships, opens the possibility of inverting the hierarchy of the paradigm, placing the elements of the medium (previously tertiary) in the primary position. Through this lens, the article demonstrates how the medium’s activity creates the conditions for communication to occur. It concludes by proposing benefits for both media ecology and project studies. Media ecology gains a novel perspective on the medium’s role, prompting new research questions. Project studies extends its research by successfully applying its concept to another established framework.
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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 | 0.012 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.006 | 0.053 |
| Scholarly communication | 0.013 | 0.026 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".