Bibliographic record
Abstract
Woodward, Caroline. Singing Away the Dark. Illus. Julie Morstad. Vancouver: Simply Read Books, 2010. Print. Verse has always been present in texts for children, and it is a pleasure to read a modern children’s book that employs verse effectively. Singing Away the Dark is a poem about a young girl traversing forest and field on a dark, winter morning to catch the bus to her rural school. Thematically, the journey is about a child’s emotional resourcefulness in the face of the routine but intimidating challenge of walking alone through the dark countryside. The verse is spare, balanced, and evocative and flows nicely when read aloud. What elevates Singing Away the Dark above the text’s potential for a reductionist, sentimental reading is the confluence of Woodward’s verse and Julie Morstad’s illustrations. Expressive, spacious, with a balance of stark and detailed representation, Singing Away the Dark’s illustrations look Canadian. The feeling they evoke along with the text speaks directly to a current conception of what childhood in this country contributes to our national sense of aesthetics and our place in the world. I came upon my four year old “reading” Singing Away the Dark independently. Noticing my presence, she said, haltingly, “Mom… the pictures in this book are very… beautiful.” Her awe-struck reaction seemed to mirror a facet of the Canadian experience—being stunned, silent in the grip of the vast, rather uncanny beauty of the wilderness. Woodward and Morstad have succeeded in imbuing Singing Away the Dark with a nuanced emotional weight and a sensibility that speaks to something intrinsic in the experience of being Canadian. To encounter a beautiful and very personal example of Canadiana like Singing Away the Dark is thrilling. For it to be appealing to, and appropriate for, pre-schoolers, early readers, and older children interested in poetry is even better. Recommended: 4 out of 4 starsReviewer: Matilda RocheMatilda spends her days lavishing attention on the University of Alberta’s metadata but children’s illustrated books, literature for young adults and graphic novels also make her heart sing. Her reviews benefit from the critical influence of a four year old daughter and a one year old son – both geniuses. Matilda’s super power is the ability to read comic books aloud.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.113 | 0.093 |
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".