Investigation of the 4th Grade Primary School Students’ Attitudes Towards Reading in the Scope of Different Variables
Bibliographic record
Abstract
In this study, it is aimed to examine the attitudes of fourth grade primary school students towards reading in terms ofdifferent variables. In this context, the attitudes of students' reading attitudes were examined according to gender, age,read books regulary and number of books read in a month. The research was prepared in accordance with therelational survey model from the quantitative patterns. The sample of the study consists of 217 primary school fourthgrade students. The data of the study were collected with reading attitude scale prepared by Yurdakal and Susar(2018). Cronbach's Alpha value of the scale is 0.853 and the scale is composed of 4 dimensions and 28 questions.Kruskal Wallis H and Mann Whitney U tests were used to analyze the data. When the results of the research areexamined, the attitudes of the students towards reading do not differ according to gender. Students' attitudes towardsreading varies significantly according to age variable and this significance is in favor of 9-10 years. The students'attitudes towards reading differ with students who do not regularly read books and this is in favor of students who donot read a regular book. The attitudes of students towards reading do not differ according to the number of booksread monthly.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".