The intangible economy: FabLabs “individualised production of objects”. A stage in liberating the function of innovation
Bibliographic record
Abstract
The concept of the FabLab was created by MIT at the end of the 1990s, with the aim of making the production of objects accessible to ordinary users. The FabLab is of particular interest for analysis, insofar as it projects the question of intangibility into a new sphere, that of industrial production. This article will try to identify the characteristics of the FabLab innovation model in the intangible production economy (towards the creation of the new IPO model) and to sketch out an analysis of the possible consequences for society, economics, politics and territory. After presenting the theoretical frame of reference of this article, we will put forward the significant and original elements of the FabLab innovation. By applying once again the theoretical framework, the conclusion will seek to indicate the possible theoretical contributions of this innovation.JEL Codes: L26, L23, O3
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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 | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".