Intention of consumers dwelling in urban areas of Ethiopia to consume Spirulina-fortified bread
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
This study aimed to understand the intentions of consumers living in urban areas of Ethiopia to consume Spirulina-fortified bread. Data were collected from a sample of 361 randomly selected respondents. The theory of planned behavior (TPB), with the addition of individual lifestyle characteristics, was applied as a theoretical framework. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were employed to test the hypothesized relationships between the variables. The findings revealed that perceived behavioral control and attitude had a significant direct effect on consumption intention, mediating the relationship between subjective norms and consumption intention. Prior information about Spirulina and physical exercise positively influences attitude, perceived behavior, and intention. Age directly and indirectly influences attitude and perceived behavior, respectively. Education directly and indirectly influences perceived behavior and intention, respectively. As this supplement is new to many consumers, promoting Spirulina’s benefits in bread could effectively influence consumer attitudes toward this new supplement.
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 | 0.001 |
| 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