Scholars in the Humanities Are Reluctant to Cite E-Texts as Primary Materials
Notice bibliographique
Résumé
A Review of:
 Sukovic, S. (2009). References to e-texts in academic publications. Journal of Documentation, 65(6), 997-1015.
 
 Objective – To explore the role of electronic texts (e-texts) in the research and citation practices of scholars in the humanities. 
 
 Design – A mixed-methods approach, employing a combination of quantitative and qualitative methods extended by semi-structured interviews.
 
 Setting – Six universities in Australia and one university in the United States. 
 
 Subjects – Sixteen humanities scholars participated in the study, including nine historians and seven literary scholars.
 
 Methods – The study had two stages. The first stage included in-depth, semi-structured interviews, examination of participants’ manuscripts and published works, and evaluation of some e-texts mentioned during interviews. The second stage involved detailed data gathering from a group of four participants selected from the participants in stage one, followed by a final interview. Data were collected throughout 2005 and 2006. In total, the study investigated thirty research projects.
 
 In stage one, participants were asked to discuss one finished and one current research project in which e-texts were used as primary sources. Participants in the second stage were asked to record data about their interactions with e-texts during the current research project on forms and audiotapes. Researchers who completed forms and recorded comments were asked to discuss their view of e-texts in the research process. The interviews and tapes with comments were transcribed and coded to protect participants’ anonymity and strengthen the interpretive validity of the study.
 
 Data were analyzed by adopting a hermeneutical approach. The study results do not have any statistical significance and the findings cannot be generalized beyond the study data.
 
 Main Results – Participants in this study used a wide variety of e-texts for their research, but seldom included citations to these electronic sources in their published work. E-texts included digitized materials from libraries, archives, and private collections as well as ‘electronically born’ documents, works of art and popular culture artifacts. Of the 22 works resulting from the research projects examined during the study period, half did not cite e-texts as primary materials. The 11 works that made at least one reference to an e-text included 4 works in which the only reference was to e-texts created by the actual author. In total, only 7 works referred to e-texts created by outside authors. These 7 final works were written by 5 participants, representing 31 percent of the total number of study participants. 
 
 Analysis of the participants’ citation practices revealed that decisions to cite an electronic source or omit it from publication were based on two important factors: (1) the perceived trustworthiness of an e-text and (2) a sense of what was acceptable practice. 
 
 Participants established trustworthiness through a process of verification. To confirm the authenticity and reliability of an e-text, most participants compared electronic documents against a print version to verify provenance, context, and details. Even when digitized materials were established as trustworthy sources, however, hard copies were often cited because they were considered more authoritative or accurate.
 Traditions of a particular discipline also had a strong influence on a participant’s willingness to cite e-texts. Participants working on traditional historical topics were more reluctant to cite electronic resources, while researchers who worked on topics that explored relatively new fields were more willing to acknowledge the use of e-texts in published works. Traditional practices also influenced participants’ decisions about how to cite materials. Some participants always cited original works in hard copy, regardless of electronic access because it was accepted scholarly practice. 
 
 Conclusions – The results of this study suggest that the small number of citations to electronic sources in publications in the humanities is directly related to researchers’ doubts about the reliability and authenticity of e-texts. Electronic resources provide a large body of primary data for research in literary and historical studies; however, the uncertain trustworthiness of many primary materials in electronic form makes these texts less acceptable for academic publications. 
 
 The study provides suggestions for further research into the social dynamics that underpin and determine academic research practices and contemporary processes of knowledge production.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,005 | 0,266 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».