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
Purpose The purpose of this paper is to address the following question: “Does purchase frequency influence consumer behaviour in the specialty food retailing setting?”, since purchase frequency is a consumer-based undertaken variable. For this purpose, the authors provide and empirically test a conceptual model focussed on specialty food retailing. Design/methodology/approach Data were collected through a structured questionnaire in the USA, gathering 592 valid responses and analysis was developed through structural equation modelling. Findings Findings indicate that satisfaction and loyalty towards specialty food stores are strongly influenced by consumers’ purchase frequency of specialty food products. Additionally, the findings support the moderating role of purchase frequency on the relationship between store service and satisfaction, as well as on the link store environment satisfaction. Originality/value Specialty food retailers should carry out marketing strategies focussing on consumer behaviour and segmentation could be developed considering purchase frequency.
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 | 0.000 | 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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