Understanding and measuring cooking skills and knowledge as factors influencing convenience food purchases and consumption
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
As the convenience food industry becomes more prominent in society, it is essential to understand the influence of cooking competence on home food production. Cooking competence allows a consumer to be self reliant and have a healthy diet, creates a less stressful home food production process and influences the consumer’s orientation attitude towards pre-prepared convenience foods. Through a literature review, it was found that mothers and cooking classes are the most important sources to acquire cooking skills, while factors such as gender, age, income, social/educational class, attitude and social environment determine how one acquires their cooking competence. A non-traditional definition of cooking competence was analyzed which strays from the traditional ‘task centered’ approach and instead encompasses a comprehensive set of skills used in domestic cooking. A cooking competence questionnaire was created to include this new definition.
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 | 0.001 | 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