Flexible Scheduling May Have a Positive Impact on School Library Circulation
Bibliographic record
Abstract
A Review of:
 Gavigan, K., Pribesh, S., & Dickinson, G. (2010). Fixed or flexible schedule? Schedule impacts and school library circulation. Library and Information Science Research, 32(2), 131-37. 
 
 Objective – To determine whether a significant, positive relationship exists between flexible scheduling in elementary school library media centers and per-pupil circulation statistics.
 
 Design – Online survey.
 
 Setting – Library media centers in public elementary schools in two states of the United States.
 
 Subjects – A total of 88 elementary school library media specialists completed the survey.
 
 Methods – A 22-question online survey was created using Inquisite software. A link to the survey was sent via e-mail to a 600-person random sample of public school library media specialists whose names were drawn from the memberships of the North Carolina School Library Media Association and the Virginia Educational Media Association, with combined memberships totalling approximately 2,000. A random sample of 600 was chosen to provide a 95% confidence level with a confidence interval of plus or minus three points. The survey included questions about school schedules (flexible, partially flexible, or fixed), collection size, circulation statistics, total student enrolment, school type (elementary, middle, or high), school location (urban, rural, or suburban), percentage of students eligible for free and reduced price lunch, numbers of full-time professional library media specialists employed at the school, access procedures, and library closure information. The survey response rate was 29.3% (176 respondents). Because fixed versus flexible scheduling is an issue that primarily affects elementary schools, the authors further narrowed their subject pool to 88 elementary school respondents. Data were analyzed using SPSS 16.0 statistical software. Correlation analysis, including the analysis of covariance (ANCOVA), was used to compare differences in the three scheduling types and to control for other variables (such as location, socioeconomic status, collection size, staffing, days closed, and others) that may affect circulation. 
 
 Main Results – Of the 88 elementary school responses, 33 (38%) had fixed schedules, 44 (50%) had partially flexible schedules, and 11 (13%) had totally flexible schedules. Fifty-three schools supplied data regarding per-pupil check-out, and the average number of books checked out per student per year was 52, across all types of schools. The number of book check-outs per pupil differed according to schedule type. Students in schools with fixed schedules checked out an average of 51 books per year, those in schools with partially flexible schedules checked out 46 books per year, and those in schools with totally flexible schedules checked out 71 books per year. When the authors adjusted the data for other factors affecting circulation (such as location, socioeconomic status, collection size, staffing, and others), they found that students in schools with fixed schedules checked out 57 books per year, those in schools with partially flexible schedules checked out 68 books per year, and those in schools with totally flexible schedules checked out 102 books per year. The authors concluded that schedule accounts for 21% of variation in the rate of book check-out per pupil.
 
 Conclusion – These results suggest that the type of schedule used in elementary school library media centers does have a significant relation to circulation statistics. Specifically, when library media centres employ flexible scheduling, students are likely to check out more books per year on average. Although these results are not generalizable, this study provides much-needed research into the relationship between scheduling and circulation, and establishes a basis for further studies in this area.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | low |
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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.795 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".