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Record W1720160223 · doi:10.18438/b8vs6q

The Library as a Preferred Place for Studying: Observation of Students’ Use of Physical Spaces

2011· article· en· W1720160223 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEvidence Based Library and Information Practice · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsSpace (punctuation)Computer sciencePhysical spaceEveningLibrary scienceMathematics educationPsychologyGeographyCartography

Abstract

fetched live from OpenAlex

Objective – To determine students’ utilization of physical spaces in the library, excluding computer labs or stacks.
 
 Design – Observational research, unobtrusive method. 
 
 Setting – Areas of space in the University Library, as well as within adjoining areas at Indiana University-Purdue University Indianapolis, such as carrels, tables, soft chairs, and study rooms. 
 
 Subjects – Students using the library’s space.
 
 Methods – The researcher chose to collect data via observation of individuals and groups in a particular space in the library, noting the gender of the individuals using the space and whether or not they were using laptops. Areas of space examined were carrels, group study rooms, chairs and sofas, tables and chairs in the Academic Commons, and benches and chairs within corridors. The unit of analysis used was equal to an individual seat. The research excluded stack space as well as any space with fixed computer stations. The time periods chosen to study the spaces were selected based on the author’s previous research. Due to higher daytime usage than evening, data was collected at two time periods during the day: 12-1 p.m. and 3-4 p.m., Monday through Friday. The researcher recorded the time of the semester as well, choosing weeks 14-17 in Fall 2007 and weeks 10-17 in Spring 2008. Space diagrams for collecting data were created, and each area had different collection times. All data was entered into a database in which each area was recorded with the number and type of users. Each area had a different capacity as to how many individuals it could hold. If the percentage of capacity was higher than 50%, the usage was considered to be notable. 
 
 Main Results – The researchers observed a few patterns from their data collection. Gender analysis provided information regarding the use of laptops; men were more likely to use them than women. While men were a smaller part of the overall university demographic while this research took place, they utilized the library spaces most. 
 
 As expected, library usage increased as the end of each semester neared, suggesting that the spaces are used mainly for study purposes. The author also chose to collect data regarding library usage by semester, which is questionable because the student population declined from fall to spring and a Campus Center opened, providing another study space. 
 
 The most attractive spaces in the library were study rooms, and for the most part, groups, as opposed to individual students, utilized these rooms. The chair and sofa areas of the library were the next most popular areas, but the study carrels were also popular, especially toward the end of a semester.
 
 Conclusion – According to the researcher, the data collected points to the library as a preferred place for studying, as opposed to other activities. By observing the use of areas such as study carrels, soft chairs, and group study rooms, one can derive data that will allow for future space planning, as well as gain an understanding of how a current space is being used.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.687

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.323
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.118
GPT teacher head0.339
Teacher spread0.221 · 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