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Record W7165161284 · doi:10.37609/akya.2600.c10390

Ortaokul Öğrencilerinin Hücre ve Bölünmeler Ünitesine Yönelik Akademik Başarı Düzeylerinin Çeşitli Değişkenler Açısından İncelenmesi

2023· book-chapter· tr· W7165161284 on OpenAlexaboutno aff
Çınar KILIÇ, Sönmez Girgin

Bibliographic record

Venuenot available
Typebook-chapter
Languagetr
FieldSocial Sciences
TopicEducational Methods and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPennyGermanQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

Bu araştırmada ortaokul öğrencilerinin, Hücre ve Bölünmeler Ünitesi Akademik Başarı Testi (HBÜABT) kullanılarak ilgili üniteye yönelik akademik başarı düzeylerinde, çeşitli değişkenlerin etkisinin olup olmadığının belirlenmesi amaçlanmıştır. Araştırmada kullanılan başarı testi, Kılıç & Girgin (2022) tarafından geliştirilmiştir. Araştırma, 2020-2021 eğitim-öğretim yılının ikinci döneminde 189 öğrenci ile gerçekleştirilmiştir. Araştırma sonucunda öğrencilerin HBÜABT’den aldıkları puanlar, cinsiyete göre anlamlı bir farklılık gösterirken; sınıf seviyeleri, bilimsel bir dergiye abone olma, daha önce bilimsel bir faaliyete katılma, Fen Bilimleri dersinde etkinlik/deney yapma sıklığı, okumayı en çok tercih ettiği kitap veya dergi türü ve izlemeyi en çok tercih ettiği film türüne göre anlamlı bir farklılık göstermemiştir.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0200.004

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 head0.118
GPT teacher head0.367
Teacher spread0.249 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2023
Admission routes1
Has abstractyes

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