Growing up in Nature: Health and Adolescent Dance in L.M. Montgomery’s Emily Series
Bibliographic record
Abstract
As the 1890s closed, a new vision of dance was being formed in North America; modern dance, as envisioned by iconic dancer Isadora Duncan, would create a nation of healthy, strong bodies. The same vision of a creative, empowering nature, articulated through the contemporary language of dance and movement, permeates L.M. Montgomery’s Emily series. Ideas about the freedom of dance and the inspirational power of nature, as outlined by Duncan and by Francis Delsarte, are integral to the construction of adolescent health in Montgomery’s texts. Like Duncan and Delsarte, Emily Starr understands the link between her interior soul and external nature, and seems unable to resist expressing that connection through movement. Furthermore, Emily displays what Duncan describes as the natural desire for freedom of all living things. She proves that dancing can be beneficial mentally, physically, and morally, and shows that movement – particularly in nature – can free the adolescent soul.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".