CROSS-CULTURAL COMPARISONS OF YOUNG CHILDREN’S EARLY NUMERACY PERFORMANCE: EFFECTS OF AN EXPLICIT MIDPOINT ON NUMBER LINE PERFORMANCE FOR CANADIAN AND CHINESE-CANADIAN CHILDREN
Bibliographic record
Abstract
INTRODUCTION. Children’s ability to place numbers on a line, where only the endpoints are marked, is related to other aspects of their mathematical understanding. In the present research, we examined the effects of a midpoint reference (e.g., marking the location of 5 on a 0-10 number line) on young children’s performance (3- to 5-year-olds) on a number line task. METHOD. We compared children with shared educational experiences but different cultural backgrounds: Chinese-Canadian children (n = 47) and Canadian children whose parents were educated in Canada or elsewhere (n = 47). All children completed a standard condition with only the endpoints marked and a midpoint condition where a midpoint reference was presented on the number line. RESULTS. The early numeracy skills of Chinese-Canadian children were better than those of the other Canadian children. Chinese-Canadian children made more accurate number line estimates when a midpoint reference at 5 was provided compared to Canadian children whereas the groups did not differ on a standard number line (i.e., no midpoint).Cultural differences persisted when mothers’ education, children’s age, and kindergarten attendance were controlled. DISCUSSION. These results suggest that strong fundamental numeracy skills are related to children’s performance on novel and complex tasks, such as the number line. These findings also indicate that differences across cultural groups may be related to language of instruction, parents’ education, or differences in home activities and emphasize the importance of developing more comprehensive frameworks for interpreting cultural differences in mathematical performance.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".