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
Abstract Consumers build social capital through purposeful consumer–place interactions. Airbnb claims that consumers want to “experience a place like [they] live there.” Previous research concentrates primarily on authenticity of objects, brands, and people, with limited development of place authenticity as a concept. But place authenticity represents an increasingly important marketing concept as consumers today, particularly millennials (Schulz, P. (2015, August 8). Not just millennials: Consumers want experiences, not things. Adage . Retrieved from https://adage.com/article/digitalnext/consumers-experiences-things/299994/ ), value experience over “stuff.” Authenticity provides an important place characteristic that if perceived, potentially unlocks a truly valuable consumer experience. Consequently, the research presented here develops an auxiliary theory of place authenticity (PA). The theory proposes a second‐order factor indicated by three coordinate subdimensions. Phase I of the research consists of five studies that develop PA, explore its dimensionality, and confirm the PA scale's construct validity. Phase II of the research involves a sixth study, which examines a set of hypotheses that begin to establish PA's nomological net. The results shed light on the psychology by which consumers extract value from experience and into ways marketing efforts can build effective place–value propositions.
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) | 0.001 | 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 it