Eastern Turkish Research Articles

Investigation of the Competencies of Teacher Candidates in Using Web 2.0 Tools

This study aimed to examine the web 2.0 tool usage competencies of Turkish and Turkish language and literature teacher candidates. The participants' proficiency with Web 2.0 tools was assessed in this context based on several characteristics. 279 teacher candidates (219 female and 59 males) were the subjects of the study, which was carried out at an eastern Turkish university. The data was gathered using Google Docs (Google Forms) and the “Web 2.0 Tools Usage Competency Scale (WAKYÖ)” created by Çelik (2021) as the data gathering method. The results of the study indicate that the digital competency of teacher applicants is frequently in the medium range. The results show that while most teacher applicants use social media, they don't use it frequently. In the gender-based examination, male teacher candidates performed much better than female teacher candidates when using Web 2.0 tools. However, an analysis of age groups shows that there are no discernible differences in Web 2.0 tool proficiency. The examination conducted based on the department or main science that each student pursued at the university revealed that teacher candidates with varying degrees of education possessed comparable levels of digital proficiency. However, there was no discernible difference in the analyses conducted based on the individuals' devices, their use of social media, the amount of time they spent on it each day, and whether or not they had taken computer or information technology courses during their undergraduate studies. The results showed no appreciable variation based on family income level. The results suggest that the focus of educational activities should be on more effective ways to improve digital skills. This makes it obvious that specialized training and support programs should be developed to fulfill the requirements of teacher candidates while taking into consideration factors like academic specialization and gender.

The Preparing Background of Kipchak Written Language with Armenian Letters

The Turkish language, one of the ancient languages in the world, has continually evolved and expanded across various geographical regions, establishing diverse historical and contemporary branches through the creation of written languages based on numerous alphabets. The formation processes of these branches of the Turkish language, which emerged gradually over time, are directly related to their ethnological structures, religious and social lifestyles, interactions in the ethno-linguistic field, geographical settlements, political situations and economic conditions. The Turkish language, which advanced as a unified written language between the 8th and 13th centuries, within the Eastern Turkish written tradition, began to diversify from the 13th century onwards, a trend that persisted into the subsequent centuries. Today, the historical and contemporary aspects of the Turkish language, encompassing over 20 written variants, should be examined by subjecting it to studies with an interdisciplinary approach.. Additionally, determining the background factors that led to the emergence of these written languages will enable a correct interpretation of the language’s evolutionary phases. This study aims to unveil the developmental trajectory of the Kipchak written language, which emerged in Eastern Europe during the 16th and 17th centuries through the use of Armenian letters. Determinations and evaluations will be conducted to explore the underlying factors that facilitated the emergence of this written language.

Sex and stature estimation from anthropometric measurements of the foot: linear analyses and neural network approach on a Turkish sample

BackgroundFor over a century, anthropometric techniques, widely used by anthropologists and adopted by medical scientists, have been utilized for predicting stature and sex. This study, conducted on a Eastern Turkish sample, aims to predict sex and stature using foot measurements through linear methods and Artificial Neural Networks. Our research was conducted on 134 medical students, comprising 69 males and 65 females. Stature and weight were measured in a standard anatomical position in the Frankfurt Horizontal Plane with a stadiometer of 0.1 cm precision. Measurements of both feet's height, length, and breadth were taken using a Vernier caliper, osteometric board, and height scale. The data were analyzed using SPSS 26.00.ResultsIt was observed that all foot dimensions in males were significantly larger than in females. Sex prediction using linear methods yielded an accuracy of 94.8%, with a stature estimation error of 4.15 cm. When employing Artificial Neural Networks, sex prediction accuracy increased to 97.8%, and the error in stature estimation was reduced to 4.07 cm.ConclusionsOur findings indicate that Artificial Neural Networks can work more effectively with such data. Using Artificial Neural Networks, the accuracy of sex prediction for both feet exceeded 95%. Additionally, the error in stature estimation was reduced compared to the formulas obtained through linear methods.

On the Language of Turkmenistan Publications of Classical Eastern Turkish Texts

Türkolojide Klasik Doğu Türkçesinin gerek Harezm gerekse Çağatay dönemlerine ait metinlerin yayımı önemli çalışma alanlarındandır. Türkiye ve Özbekistan’daki bu dönemlere ait yayınlarda yer yere kimi kelimelerin yazılışında farklılıklar olabilmektedir: deg – dek, ösrük - üsrük vb. Benzer farklı yazılma alıntı kelimelerde daha fazladır: nîze – nayza, nümayân – nemeyân, rûze – roza, vîrân - veyrân vb. 
 Söz konusu dönemlere ait metinlerin Türkmenistan’da da yayınlandığı görülmektedir. Ancak bu yayınlardaki dilin aynı metinlerin Türkiye ve Özbekistan’da yapılmış yayınlardan oldukça farklı olduğu görülmektedir. Metinlerde gerek Türkçe gerekse alıntı kelimeler çok büyük oranda günümüz Türkmen ölçünlü diline uydurulduğu (tirgüz- yerine direlt-, kiltür- yerine getir- vb.) ancak yer yer özgün biçimlerin (yığla-, buluş-, geltir-) korunduğu görülmektedir. Benzer durum ekler için de söz konusudur. Aynı metin içinde özümni yanında özümi; goymas yanında goymaz vb. kullanımlar bulunmaktadır. Alıntı kelimeler ise tamamen Türkmen ölçünlü söyleyişine uydurularak verilmektedir: Muśŧafā yerine Mustapa; miǾrāc yerine magraç; ŧaǾn u taǾrįfi yerine tagn-u tarıpı vb.

«Күлтегін» жазба ескерткішіндегі публицистикалық жанрлардың көрінісі

The formation and periods of development of the journalistic genre need to be monitored since ancient times. The coexistence of such concepts as society, politics, system, and people is natural from the day they appeared in human consciousness. Through the journalistic genre, facts related to truth and artistic language are transmitted, which can be perceived by society. In particular, since the Turkish people united and established the Turkic Khaganate in the 5th century, modern journalism of nomadic civilizations has also been formed. The journalistic genre occupies a special place in written monuments. The word "Publicus" itself also means "public". It follows that journalism presents to the public the most important and relevant information in society. The early written monuments considered the historical realities of that period, current political events, issues of the kagan, the kaganate. This is evidenced by the marked texts in such Orkhon monuments as "Tonikok", "Kultegin". The monuments of the Orkhon-Yensei script themselves belong to the "ancient Turkic era". The people who were part of the Eastern Turkish Kaganate read and spoke this language, that is, the same language was used in journalistic terms

Estimating body weight from foot measurements in the Eastern Turkish Population using linear methods and artificial neural networks

Estimating body weight from foot measurements in the Eastern Turkish Population using linear methods and artificial neural networks

Validity and reliability study of the turkish version epilepsy self-stigma scale (ESSS-T)

AimWe translated the Epilepsy Self-stigma Scale (ESSS) into Turkish and aimed to examine the Turkish version ESSS (ESSS-T) validity and reliability. Materials and methodFrom April to August 2023, patients with epilepsy (PWE) were recruited from the neurology outpatient clinic of Ataturk University Hospital in the eastern Turkish city of Erzurum (inclusion criteria: age 18 years or older and adequate reading and speaking ability in Turkish). We conducted our survey using a self-administered questionnaire. The questionnaire consisted of the ESSS-T after appropriate translation by back-translation, and self-esteem (the Rosenberg's Self-Esteem Scale, RSES), depression (the Neurological Disorders Depression Inventory for Epilepsy, NDDI-E), and general stigma (the Stigma Scale for Epilepsy, ESE) for construct validity. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to test factorial validity. Also, Cronbach's alpha coefficient was calculated to verify reliability. ResultsOf the 126 patients, 106 agreed to give informed consent and responded to the questionnaire (84.1 % response rate). The results of EFA suggested the same three-factor structure as in the original version, but CFA showed some limitations in interpreting the three-factor structure and it may be safer to understand it as a unifactorial structure. The alpha coefficients were also validated by the ESSS-T. The alpha coefficients were α = 0.74 for the ESSS-T scale as a whole and α = 0.69–0.74 for each subscale, which were generally acceptable values. ConclusionThe Turkish version of the ESSS proved valid and reliable. It is a measurement tool with a three-dimensional structure. It can be used to assess the self-stigmatization of patients with epilepsy in Turkey.

Sex estimation from the hyoid bone measurements in an adult Eastern Turkish population using 3D CT images, discriminant function analysis, support vector machines, and artificial neural networks☆

The hyoid bone is one of the bones in the human body that shows sexual dimorphism. The anthropological and anthropometric characteristics that determine sexual dimorphism are influenced by demographic differences. The aim of this study was to investigate the rate of sexual dimorphism of the hyoid bone in the adult Eastern Turkish population from the examination of the 3D computed tomography images of 240 patients, using discriminant function analysis (DFA), support vector machines (SVM), and artificial neural networks (ANN). These evaluations were based on eight hyoid measurements that have been frequently used in previous CT studies. The results showed that all eight measurements were higher in males than in females (p = 0.000). It was determined that sex could be estimated accurately at up to 93.3 % using DFA, 93.8 % using SVM and 95.4 % using ANN. The maximum accuracy rate achieved to 94.2 % in males using SVM, and 95.8 % in females using ANN.These high rates of sexual dimorphism found using DFA, SVM, and ANN in this study indicate that characteristics of the hyoid bone can be utilized to determine sex in the Eastern Turkish population.

GENERATIVE AI IN ELECTRICITY DISTRIBUTION: A QUALITATIVE EXPLORATION

Purpose- The purpose of this study is to explore the application and potential of generative artificial intelligence (AI) within the context of electricity distribution companies. The study aims to investigate how these advanced AI technologies, particularly Generative Adversarial Networks (GANs), can address the sector's pressing challenges, such as load forecasting, power outage prediction, and preventive maintenance. Methodology- The study employs a qualitative case study methodology, providing an in-depth analysis of real-world applications of generative AI within electricity distribution companies. The selection of cases represents a wide variety of experiences and contexts, facilitated by both primary data collected through semi-structured interviews with key personnel within the organizations and secondary data derived from an extensive review of company reports, public documentation, and industry publications. The gathered data was systematically analyzed using thematic analysis to identify and report recurring patterns and themes. Findings- The analysis reveals that generative AI has been successfully implemented in various operational aspects of electricity distribution. The first case study presents how GANs have significantly improved load forecasting accuracy in an Eastern Turkish electricity distribution company. The second case study from Southern Turkey showcases how GANs have been used for predicting power outages, thereby aiding efficient resource allocation, reducing downtime, and enhancing customer satisfaction. Lastly, the third case from Northern Turkey demonstrates how generative AI has contributed to effective preventive maintenance of distribution equipment, improving overall system reliability. Conclusion- Based on the analysis findings, it may be concluded that generative AI holds transformative potential for the electricity distribution sector. While the implementation of these technologies is associated with challenges such as data privacy, security, and the requirement of technical expertise, the benefits in terms of improved accuracy, system reliability, and resource efficiency provide a strong justification for their adoption. The paper underlines the importance of an interdisciplinary collaboration between AI researchers, electrical engineers, industry professionals, and policymakers for furthering the adoption of these technologies. As the field of generative AI continues to evolve, it is expected to have an even greater impact on the electricity distribution sector, thereby opening up exciting opportunities for future research and application. Keywords: Generative artificial intelligence (ai), electricity distribution companies, generative adversarial networks (gans), load forecasting, outage prediction, preventive maintenance JEL Codes: M40, M41

The relationship between smartphone and computer games and anger in adolescents

Objective: In this study, it was aimed to determine the relationship between the causes and duration of gaming and types of games and
 levels of anger among Turkish adolescents studying at high schools.
 Materials and Methods: The study was conducted using a cross-sectional descriptive design with adolescents enrolled in high schools
 in an Eastern Turkish province. A total of 819 adolescent students aged 13-18 were included in the study. Data were collected online
 through Google Forms, utilizing both the “Sociodemographic Form” and the “Adolescent Anger Rating Scale.”
 Results: The mean age of the adolescents was 15.52±1.29. Gender, academic performance, daily sleep duration, and daily walking
 distance were not found to be associated with anger levels. Additionally, there was no significant correlation between anger scores and
 the status of computer and smartphone usage. However, individuals who used smartphones for 3 hours or more for purposes such as
 gaming, entertainment, chatting, messaging, and socializing exhibited higher anger scores.
 Conclusion: Academic grades, the duration of smartphone usage, computer and smartphone use for gaming/entertainment, chatting,
 messaging, and socializing were found to be associated with anger. Specifically, extended periods of playing war, fighting, and similar
 games on both computers and smartphones were correlated with higher levels of anger. It would be advantageous for parents to monitor
 and regulate the content of the games their adolescents play, observe any behavioral differences, and take necessary precautions.

A Treatise on the Qur'an Written in 13th Century Eastern Turkish

Türklerin İslamiyeti kabulünden sonra yazılan ilk dönem eserlerin günümüze sınırlı sayıda ulaşması, özellikle Orta Asya coğrafyasında yazılmış henüz tespit edilen ya da edilecek her eseri, dönemin dil özelliklerini daha iyi anlayabilmek bakımından kıymetli kılmaktadır. Çalışmamızda, daha önce Ahmet Ateş tarafından varlığına dikkat çekilen ve 13. yüzyıl Doğu Türkçesi ile yazıldığı düşünülen bir Kur’ân risalesinin metni neşredilerek yazım, dil ve muhteva özellikleri açısından incelemesi yapılacaktır. Çalışmamızın konusu olan eser, İzmir Tire Necip Paşa Kütüphanesi 82 numarada kayıtlı olan bir mecmuanın 196a-197b sayfaları arasında bulunmaktadır. Söz konusu risalenin bulunduğu mecmuada yer alan ve Abû Nasr el-ǾIrâkî’ye ait olan el-İşâra bi-latîf isimli Arapça eserin istinsah kaydında 12 Zilkade 679/4 Mart 1281 tarihinde istinsah edildiği bilgisi bize bu risalenin de söz konusu tarihe yakın zamanlarda telif veya istinsah edildiğini düşündürmektedir. 4 babdan oluşan bu risale Kur’ân-ı Kerim’in sûrelerinin, âyetlerinin, kelimelerinin, harflerinin sayısı hakkındaki farklı görüşleri aktarmaktadır. Risaleyi dil açısından incelediğimizde 13. yüzyıl Türkçesinin öne çıkan dil özelliklerini taşıdığını görmekteyiz. Çalışmanın sonuna risalenin şimdilik bilinen tek nüshasının renkli görüntüleri eklenmiştir. Bu risalenin bulunduğu mecmuanın önemli bir yönü de Abû Nasr el-ǾIrâkî’ye ait olan el-İşâra bi-latîf’i 12 Zilkade 679/4 Mart 1281 tarihinde istinsah eden Ali b. Hüseyin el-Farâbî tarafından yazılan altı beyitlik Türkçe bir şiiri de içermesidir. Çalışmamıza bu şiirin metni, diliçi çevirisi ve renkli görüntüleri de eklenmiştir.

ABAY, YUNUS EMRE VE AHMET YESEVİ’NİN DİLİNDEKİ TÜRK LEHÇELERİ ARASI DİLSEL ÖZELLİKLER

Abay Qunanbayuli, is one of the important literary man that has left his mark in the nineteenth century Kazakh cultural life. He is known as the greatest poet of Kazakh Turks. Abay wrote his works in Kazakh Turkish, but since he continues the tradition of Chaghatay Turkish, those who speak Karluk and Oghuz group dialects can easily understand his works. In the work, elements that are rarely used in contemporary Kipchak dialects, but whose origin is Oghuz Turkish, are also found in his poems. Although Aḥmad al-Yasawī's Dīvān-ı Hikmet, who lived long before than Abay, was written during the Karakhanid period, its copies written in Chaghatay Turkish have survived. Despite this situation, we can say that we have come across a few Oghuz Turkish elements from the new copy. In this article, the poets of different periods and regions of the Turkish world, Aḥmad al-Yasawī, Yūnus Emre and Abay Qunanbayuli, were examined by comparing the words specific to Kipchak or Oghuz Turkish. In the study, Yūnus Emre was chosen as the representative of the Oghuz group and Aḥmad al-Yasawī as the representative of Eastern Turkish close to the time of Yūnus. Abay has also been shown as the representative of the Kipchak group more recently. Thus, it was revealed that common elements were preserved in three large groups. Accordingly, it has been concluded that the influence of the linguistic and cultural tradition of the Göktürk, Old Uyghur, Karakhanid, Khwārazm, Chaghatay and Kipchak Turkish periods continues to a significant extent in terms of vocabulary in the written language of both geographies. Keywords: Abay, Aḥmad al-Yasawī, Yūnus Emre, Oghuz Turkic, Kipchak Turkic, Chaghatay Turkic.

The role of Anatolia between Asia and Europe: A case study of oak gall wasp species, Cynips quercus (Hymenoptera, Cynipidae)

In this study, we used DNA sequence data of a western Palearctic oak gall wasp species, Cynips quercus, showing distribution from Europe to Iran to answer the following questions: i) Do the eastern C. quercus populations have higher genetic diversity than the European populations?, ii) Are the eastern populations source for the European populations?, iii) What is the possible date of divergence between the Asian and European populations? For these purposes, we analysed 88 cytochrome b sequences representing Iran, Türkiye, Hungary, and Spain. Our analyses revealed that the highest genetic diversity was in Türkiye followed by Iran, Hungary, and Spain, respectively. Iranian samples were most divergent from the Spain and Hungary sequences. Pairwise comparisons showed that the highest gene flow was between Türkiye and Hungary, and between Türkiye and Iran, respectively. Phylogenetic analysis grouped the Turkish haplotypes with the Iranian sequences, and Spain was grouped with Hungary. Network analysis revealed that the western Turkish samples were separated from eastern sequences, and all of the eastern Turkish sequences were clustered with the Iranian samples meanwhile a western Turkish lineage provided a source to Hungary and then to Spain. Times of divergence analysis estimated that the Turkish lineage split from the Iranian lineage around 4,67 million years ago, and Hungarian and Spanish lineages diverged from each other about 3 million years ago. Correspondingly, our analyses suggested that Anatolia played a key role as a bridge between the Asian and European populations of C. quercus.

The Eastern Turkic Translation of Kalila wa-Dimna

Kalila wa-Dimna is a version of Panchatantra, a work comprising the writings of Indian oral culture, extended across a long period of time. With these extensions of time, in fact, entirely new works were created in different languages and cultures. Translations of Kalila wa-Dimna were made in both the Eastern Turkic areas and in Anatolian lands. For this study, a translation of Kalila wa-Dimna into Eastern Turkish, archived in Sweden with the Lund University Library’s Jarring Collection (Prov.) 46, has been examined. The book contains 97 pages with 10 lines on each page. The work under examination was brought to Sweden from the Eastern Turkistan region by the Swedish orientalist Gunnar Jarring. The language of the work is similar to a dialect spoken in the Kashgar-Yarkant area. Despite having aspects of Eastern Turki, this Kalila wa-Dimna translation contains different phonological features.

External Validation of CHOKAI and STONE Scores for Detecting Ureter Stones in the Eastern Turkish Population

External Validation of CHOKAI and STONE Scores for Detecting Ureter Stones in the Eastern Turkish Population

Rylands Satıraltı Kuran Tercümesi ile Kırgız ve Türkiye Türkçesi Kuran Tercümelerindeki Söz Varlığı ve Tercüme Yöntemi

Bu çalışmada, ilk satıraltı Kuran tercümeleri arasında kabul edilen ve Çağataycadan daha önceki bir döneme ait olup Doğu Türkçesi özellikleri gösteren Rylands nüshası ile günümüz Türkiye Türkçesi ve Kırgız Türkçesiyle yayımlanan Kuran tercümelerindeki kelimeler ve terimler karşılaştırılmaktadır. Söz varlığı bakımından Kuran’ın satıraltı tercümesi (Rylands nüshası), gerek Uygur Türkçesi metinleri gerekse Kutadgu Bilig ve Divanu Lügati’t-Türk’le pek çok ortak kelime içermektedir. Bu kelimelerin birçoğu, elbette diğer Türk lehçeleriyle de (Kıpçak, Oğuz gibi) ortaklaşabilmektedir. Bu bakımdan söz varlığı karşılaştırmasına Türkiye Türkçesi de dâhil edilmiştir. Böylelikle bir görüşe göre 14 veya 15. yüzyıl, başka bir görüşe göre daha önceki bir yüzyılda yazılan Kuran tercümesinden değişerek veya aynı kalarak günümüze dek ulaşan ifadeler ve kelimeler tespit edilmiştir. Daha sonra bu söz varlığının alındığı dil ve anlamları ortaya konulmuş, Türkçenin dinî anlam ve kavramları hangi kelime, terim ve ifadelerle karşıladıkları (kavram alanı oluşturularak) tahlil edilmiştir. Çalışmanın sonunda istatistiklere de yer verilmiştir. Korpus üzerinden çeviri yöntemine dair tespitler de çalışmamızda bulunmaktadır. Buna göre dinî terim ve kelimelerde Türkçenin kullanım oranı ve bilinci, azımsanmayacak ölçüdedir.

Sex estimation using foramen magnum measurements, discriminant analyses and artificial neural networks on an eastern Turkish population sample

BackgroundAlthough many studies have been conducted using the foramen magnum for sex estimation, recent findings have indicated that the discriminant and regression models obtained from the foramen magnum may not be reliable. Artificial Neural Networks, was used as a classification technique in sex estimation studies on some other bones, did not used in sex estimation studies on the foramen magnum until now. The aim of this study was sex estimation on an Eastern Turkish population sample using foramen magnum measurements, discriminant analyses and Artificial Neural Networks. MethodologyThe study was performed on the CT images of a total of 720 cases, comprising 360 males and 360 females. For sex estimation, discriminant analysis and Artificial Neural Networks were used. ResultsThe accuracy rate was 86.7% with discriminant analysis and when sex estimation accuracy was determined according to cases with posterior probabilities above 95%, the accuracy ranged from 0% to 33.3%. With the use of the discriminant formulas of 2 other studies, obtained from different Turkish samples, sex could be determined at a rate of 84.6%. Some formulas were found to be unsuccessful in sex estimation. Sex estimation accuracy of 88.2% was achieved with Artificial Neural Networks. ConclusionIn this study, it was found that sex could be determined to some extent with discriminant formulas from other samples from the same population, although some formulas were unsuccessful. With the use of image processing techniques and machine learning algorithms, better results can be obtained in sex estimation.

Accuracy of age estimation with Demirjian and Nolla methods in Eastern Turkish children aged 3-17 years old.

Dental age assessment is one of the most reliable methods of chronological age estimation used for criminal, forensic and anthropologic purposes. This study aimed to determine how accurate it was to estimate the chronological age by looking at the dental age measured with the Nolla and Demirjian methods in a Turkish sample, based on the variables of gender and age-group. A retrospective study was performed on panoramic radiographs of 1587 subjects (774 females and 813 males), aged 3-17 years. The mean dental age according to the Demirjian and Nolla methods were compared to the mean chronological age (CA). Also, the percentage value of prediction of CA was determined by using the both methods. An under-estimation of the chronological age was observed by using Nolla's method (males -0.003, females -0.32, both -0.16) and an over-estimation of the dental age was observed by using Demirjian's method (males 0.61, females 0.75,both 0.68). Nolla's method was more accurate in the CA estimation than Demirjian's method in Eastern Turkish population.

Sex estimation from the clavicle using 3D reconstruction, discriminant analyses, and neural networks in an Eastern Turkish population

Sex estimation of skeletal remains is an important aspect of forensic anthropology. The clavicle is a bone with relatively high accuracy in sex determination. In this study, 7 clavicular parameters were obtained using the CT images and 3D reconstruction of 360 cases equally distributed as 180 males and 180 females. Sex determination was made using univariate, linear, and stepwise discriminant analyses, and multilayer perceptron neural networks. Maximum sex determination accuracy of 85.3% was achieved with univariate analysis, 89.4% with linear discriminant analysis, 90.0% with stepwise discriminant analysis, and 91.4% with multilayer perceptron neural networks. Significant changes were observed in the MLC, APMD-R and CDC parameters according to age, and these were determined to affect the accuracy of sex determination in different age groups. In forensic anthropological studies, more reliable results can be obtained by considering the confounding factors during sampling. Although high accuracy rates can be achieved with neural networks, the results should be approached with caution.

Family physicians in an Eastern Turkish City need training on child abuse and neglect

The study's purpose was to determine the knowledge, competencies, and approaches of family physicians in recognizing the signs of child neglect and abuse. This cross-sectional study was conducted between 1 March and 30 August 2019 in the Erzurum province in Turkey. The population of the study was family physicians working in primary care. The data were collected with an instrument that included the Scale of Diagnosing the Symptoms and Risks of Child Abuse and Neglect (SDRCAN) and a socio-demographic information form. The mean age was 37.40 ± 8.78 years (min. 26, max. 60). Of the participants, 103 (n = 58.5%) were men. The most common types of encountered child abuse/neglect were physical abuse or neglect (each 27.8%, n = 49). Having received education on child abuse/neglect among participants was only 44.9% (n = 79). On the other hand, the rate of having encountered any child abuse/neglect was 40.3% (n = 71). Another result of this study is the proportion of family physicians feeling weak regarding history taking (30.7%, n = 54), physical exam (17.0%, n = 30), and cooperation with the authorities (13.1%, n = 23). Additionally, the different responses among the participants about action in case of encountering child abuse/neglect were remarkable. Being a woman was one prominent factor that increased the SDRCAN score (P < 0.001). The awareness and knowledge of family physicians in Erzurum about child maltreatment are inadequate. We recommend focusing on child maltreatment, especially in medical faculties, including this issue in the standard core curriculums, and organizing intermittent in-service training programs during the post-graduate working period.