Bibliographic record
Abstract
Hair has always played an important role in the history of mankind. Egyptian hieroglyphics are testimony of the paramount importance of hair for this ancient civilization, not only because of the visual effect, but also because of the erotic symbolism connected with hair. For the ancient Romans hair was not only a question of fashion but was used as a symbol of beauty, virility, class and intellect. In modern western culture having a full head of hair is often associated with desirable qualities such as youthfulness and vitality. Most people experience changes in hair and scalp health as they age. Subsequent hair loss may cause significant distress that deeply affects people’s life causing social anxiety and interfering with their well being. Genetic and hormonal changesareimportantfactorsinhairloss, butweatheringandgrooming habits take a toll on our hair as well. A recent advisory board comprising twelve experts in hair fibers and hair loss was formed to review hair loss in relation to heredity, aging and environmental factors emphasizing measures that may slow alopecia. The following information is a summary of their discussions on these topics.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".