Growing Ideal Children in School Gardens : A Historical Discourse Analysis
Bibliographic record
Abstract
The school garden has been reputed as a beneficial site for children’s learning. However, the school garden has also had negative consequences for children. Historically, the school garden has been used to control, contain, correct, and exploit children for adult gain under the guise of nature education. An analysis of educational texts written during 1890s- 1920s at the height of the school garden movement revealed adult agendas to use the school garden to save the innocent/evil child; create good, moral, future citizens; and recruit children to become producers of agricultural goods. These adult intentions for children were masked within the discourses which spoused the mutually beneficial relationship between children and their school garden. The natural and seemingly obvious pairing of children and nature provided the rationale to create obedient child citizens and labourers to fulfill social and political needs that have transcended into our present understandings of children and nature.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.013 | 0.024 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".