Bibliographic record
Abstract
Bitskoff, Aleksei. Icky Mr. Fox and the Missing Friend. IckyPen Ltd, 2017. Vers. 19.0.1. Apple App Store, https://itunes.apple.com/us/app/missing-friend/id1236379583?mt=8. Age range: 0-5Price: $2.79.Also available in a Lite version with ads at no cost. This simple, quirky digital text takes children on a journey to rescue Mr. Mole from Icky Mr. Fox and builds early digital navigation and vocabulary skills. Children experience the story read aloud, with the text displayed on the screen along with charming illustrations. The app features some interactive elements. Many objects on the screen are clickable and the name of the object appears in writing and is spoken aloud. Other interactive elements include the ability to make the sun rise, turn lights on and off in a room, or move characters in one direction or another. The interactions are intuitive and young children should easily be able to identify the interactive features and navigate the interface. The app somewhat replicates the experience of reading a book, moving from screen to screen with the touch of an arrow. The illustrations are highly appealing, with adorable characters, painterly background illustrations and harmonious colour schemes. The tone of the illustrations and sounds is gentle and pleasing, and would not stretch the tolerance of parents for annoying levels of noise. The language and storyline are simple and lack creativity, but keep the interest of a child with a certain level of suspense. The app enables children to follow a story in sequence, to recognize the relationship between sound and text, and encourages them to build fine motor skills and touch-screen computer skills. Children touch the screen to make text and sound appear and swipe to make characters move. Children in the higher end of the age range may build early reading or text decoding skills through seeing and hearing words. The stated age range for the app is 0-5; children aged 2-5 would benefit most. This app is fun for both adults and children and is an engaging way for children to learn digital skills. Children can find more adventures featuring Icky Mr. Fox created by the same developers. Recommended: 3 out of 4 starsReviewer: Merran Carr-Wiggin Merran Carr-Wiggin’s experience at Edmonton Public Library includes positions as a Summer Programmer, in the Children’s Department, and at the Strathcona Branch. She is a candidate in the Master of Library and Information Studies program at the University of Alberta, and her work as an actor includes theatre for young audiences.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.270 | 0.194 |
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".