Bibliographic record
Abstract
This study addresses two information pathologies: information technology anxiety (ITA) and information overload (IO). This research aims to determine the level of both ITA and IO amongst the undergraduate students of Information Science of the Faculty of Arts and Humanities of the University of Coimbra, Portugal, and to ascertain how both phenomena correlate with students’ gender, age, number of enrolments in the degree and average frequency of use of the university’s libraries throughout the academic year. Concerning the research methodology, we opted for exploratory and descriptive research with a quantitative approach and adopted the case study and questionnaire survey methods. Both descriptive and inferential statistics were used as methods of data analysis. The findings, concerning 39\% of the population under study (N = 88; n = 34), reveal a considerably low prevalence of ITA but a substantial occurrence of IO. Both ITA and IO correlate positively with the female gender. Students aged 19 and 24 years are the least likely to manifest both ITA and IO; in turn, students aged 22 years are the most likely to simultaneously show ITA and IO. Both phenomena tend to increase as students progress through the degree. Last, a higher frequency of use of the university’s libraries is associated with a higher level of ITA and IO. Our findings emphasize the high incidence of IO in university students and the need for increased skills in all dimensions of the human-information-technology relationship/system, particularly in the information filtering and management areas.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.079 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".