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Record W1582837024 · doi:10.18438/b8gs5x

Scholars in the Humanities Are Reluctant to Cite E-Texts as Primary Materials

2011· article· en· W1582837024 on OpenAlexaffvenue
Deena Yanofsky

Bibliographic record

VenueEvidence Based Library and Information Practice · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsMcGill University
Fundersnot available
KeywordsAnonymityDocumentationCitationQualitative researchPsychologyLibrary scienceSociologySocial scienceComputer science

Abstract

fetched live from OpenAlex

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.

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)0.044
metaresearch head score (Gemma)0.174
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.989
Threshold uncertainty score0.231

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0440.174
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0110.023
Science and technology studies0.0060.014
Scholarly communication0.0230.033
Open science0.0030.010
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0180.015

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 head0.056
GPT teacher head0.238
Teacher spread0.182 · 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.

Study designObservational
DomainReporting
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

Citations1
Published2011
Admission routes2
Has abstractyes

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