Coherence within and across Categories: The Dynamic Viability of Product Categories on Kickstarter
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
How does the viability of a product category shift over time? Studies abound on how categories emerge and become established, or fall out of use. Yet, extant research has often examined the evolution of categories one at a time, leaving open the question of how related categories affect a focal category’s viability. In contrast, we consider both intra- and inter-category dynamics. Viewing categories as continuously shaped by actors’ efforts to position their products, we argue that these efforts alter the coherence that products exhibit not only within a category (a category’s heterogeneity), but also across related categories (a category’s distinctiveness). We theorize how the interaction between a category’s heterogeneity and distinctiveness shapes its subsequent viability. When a focal category’s distinctiveness is low, the heterogeneity–viability relationship takes an inverted U-shape. However, as distinctiveness grows, the relationship flattens and eventually flips to a U-shape. We explain this by considering the trade-off between the “classification” and “valuation” benefits that a category affords. We find support for our argument by tracking 170 categories over an 11-year period on Kickstarter, one of the largest crowdfunding platforms. By providing a nuanced understanding of category dynamics, we shed new light onto the fluctuating viability of categories.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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) | 0.000 | 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