Organizational Emplacement as a Response to Digital Threat: The Novel Resurgence of Independent Bookstores
Bibliographic record
Abstract
This study reveals how incumbent actors leverage physical place as a source of differentiation in response to the threat of digital commoditization. Through a longitudinal, qualitative analysis of the U.S. independent bookselling industry from 1995 to 2019, we outline how dispersed organizational actors responded to the rise of Amazon.com, an online retailer that threatened to displace brick-and-mortar retail. While many analysts predicted that Amazon’s emergence would incite a retail apocalypse, independent bookstores proved to be far more resilient than expected. We identify organizational emplacement—a process by which actors infuse meaning into physical spaces , thereby transforming them into valuable places —as a novel mechanism of value creation. Several practices are associated with this mechanism, including architecting the physical environment, anchoring to the local community, and sanctifying the meaning of place. This study offers a counterbalance to narratives of digital displacement and shows how physical place can be converted from a liability into an asset in the digital era.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.031 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| 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".