Bibliographic record
Abstract
This study investigates the transmission of children's songs, exploring how Warabeuta (traditional Japanese children's songs), Shoka (school songs), and Doyo (modern children's songs) have been passed down through different eras. It also identifies challenges presented by today's environment, significantly altered by the widespread adoption of social media. The core essence of Warabeuta, as described by Koizumi, and the Doyo theories of Hakushu and Ujo, seem to serve as timely warnings, even across generations, against the potential alteration of children's songs due to social media's pervasive influence. When considering whether children's songs and hand-play songs should be viewed primarily as "play" or as "works," institutions training early childhood educators should present both viewpoints. However, the ultimate focus should be on fostering enjoyment with the children directly in front of us. It's crucial to build relationships where joy is co-created with children through "songs" and "words," all while respecting the original creators. Establishing clear guiding principles and effective methods for this approach will be a key objective for future research.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".