Peningkatkan Kemampuan Berhitung Permulaan Melalui Media Sempoa
Bibliographic record
Abstract
The purpose of this study was to describe the increase in numeracy skills of 0-10 through the Abacus Media for Group B children in Integrated PAUD Nagallo Marannu, Puncak Jaya Regency, Academic Year 2017/2018. This research was conducted on group B children, amounting to 16 people. This research is an action research with the method of Kemmis and Taggart which consists of 4 stages, namely (plan, act, observe and reflect). This study consisted of 2 cycles, each of which consisted of 3 meetings. Data collection techniques using observation, field notes, and documentation. Data analysis using quantitative and qualitative. Quantitative data analysis was performed with statistical descriptions to compare pre-cycle to cycle II. Qualitative analysis is carried out by analyzing data from observations, field notes and verified documentation. The results showed that there was an increase in the ability to count numbers 0-10 through the abacus media with a score in the pre-cycle of 46.35% increasing to 66.66% in the first cycle and an increase of 82.29 in the second cycle with the very well developed category.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".