Family Photos: Digital photography as Emancipatory Art Education in Montreal’s Black Community
Bibliographic record
Abstract
Familial aggregation, population, and twin studies all point to important genetic influences on the level of blood pressure in childhood and adolescence. Whether a major gene effect operates during childhood has not been determined. The investigation of polygenic paths leads to the study of variables such as ion transport and reactivity paths that appear to be under strong genetic influences. The evidence suggests that abnormalities in these paths might be linked to a prehypertensive state. Univariate genetic analyses of systolic and diastolic blood pressure show that a significant portion of the variability of these variables is under genetic control. Moreover, during early adolescence, boys differ from girls in the regulation of their resting blood pressure. Multivariate genetic analyses show that in these young adolescents, genetic paths shared with body mass index appear to influence systolic but not diastolic blood pressure. The genetic relationship between systolic and diastolic blood pressure appears largely to be independent of body mass index. Genetic studies can partition the genetic and environmental influences on blood pressure and identify shared paths with variables previously believed to be linked epidemiologically. This information may have the capacity to be the framework for public health guidelines developed to lower the incidence of adult hypertension.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".