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Record W2623211670 · doi:10.5539/jel.v6n3p340

Which Perceptions Do We Have Related to Our Rights as Child? Child Rights from the Perspective of Primary School Students

2017· article· en· W2623211670 on OpenAlexvenueno aff
Erdem Hareket, Selma Yel

Bibliographic record

VenueJournal of Education and Learning · 2017
Typearticle
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)PerceptionPsychologyChild rightsQualitative researchPedagogySocial psychologyHuman rightsMedical educationMathematics educationPolitical scienceSociologyLawSocial scienceMedicine

Abstract

fetched live from OpenAlex

This study was carried out with the goal of investigation of perceptions and views which are related to children’s rights of forth grade primary school students. The research was designed properly to qualitative research approach. This research was made with 156 4th grade students. In determining of the research group, criterion sampling technique was used. In the process of getting research data, survey form, written documents and semi-structured interview form were used. The research data were analyzed with content analysis method. As a result of research, it was determined that children indicated that they have some rights such as have adequate nutrition, be respected by everyone, play games, feel being loved and attract attention, have fun and get qualified education. On the other hand, some rights such as make decisions and choices independently on issues related to self, live, shelter, protect themselves from all kinds of danger and get information are expressed by participants more less than other rights. In addition to this, it was determined that some responsibilities are perceived as rights by children. Consequently, it was determined that the children have not adequate awareness about own rights. Depending on the research results it was suggested that awareness and perceptions of students related to own rights should improved with qualified and entertaining children’s rights education.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.885

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.402
Teacher spread0.383 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2017
Admission routes1
Has abstractyes

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