Bibliographic record
Abstract
The recent statements in the April 2013 issue of Paediatrics & Child Health by the Nutrition and Gastroenterology Committee ('Nutrition for healthy term infants') and the Community Paediatrics Committee ('Weaning from the breast') both make recommendations for first complementary foods in the sixmonth-old infant -meat, meat alternatives and iron-fortified cereals. The statements are vague in the types of offerings and in frequency. However, if the Health Canada statement published in September 2012 (1) is reviewed, the recommendations are more specific: At this stage (six months of age), iron-rich foods, such as meat, meat alternatives (eg, eggs, tofu, and legumes), and ironfortified infant cereals, are important to help meet the nutrient needs of the rapidly growing infant ... While meat and fish are traditional first foods for some Aboriginal groups, the common practice in North America has been to introduce infant cereal, vegetables, and fruit as first complementary foods ... However, the daily or frequent consumption of heme iron foods (meat, poultry and fish) can contribute considerably to meeting infant iron requirements ... Infants should be offered iron containing foods two or more times each day. They should be served meat, fish, poultry or meat alternatives daily.
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.
How this classification was reachedexpand
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".