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Record W3135641406 · doi:10.29173/iasl7933

The Whole Campus Is the Library: A Four-Entrance Management Strategy of a Library

2021· article· en· W3135641406 on OpenAlexvenueno aff
Hsinshi Chang, Chenfu Lee

Bibliographic record

VenueIASL Annual Conference Proceedings · 2021
Typearticle
Languageen
FieldComputer Science
TopicMobile Learning in Education
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)Promotion (chess)CreativityAutonomyComputer scienceDigital librarySet (abstract data type)Space (punctuation)Field (mathematics)Mathematics educationMultimediaPsychologyPolitical scienceMathematics

Abstract

fetched live from OpenAlex

Discarding the traditional one-entrance design, the AHS library provides four entrances for readers. This multi-entry design brings challenges to the library management. However, with the school rationale and vision, freedom, autonomy, creativity, and energy, this new design tries to promote the use rate, to meet the demand of multi-learning, and to prepare all the students for further study. With the promotion of character education and with the trust on the students’ self-discipline, the AHS library insists no detection system be set by the entrance; thus the library becomes the field of learning how to behave themselves. To promote the use rate, the AHS library adopts digital and non-digital devices to extend its territory. The establishment of wireless network and the MOD system enable the teachers and students to access the needed information at every corner, the classroom shelves and reading groups erect a library branch in each space. Therefore, the conflicts of hybrid environments are reduced and the four entrances stand for not only the concrete entry but the multiple accesses to the library.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0020.001
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 head0.015
GPT teacher head0.232
Teacher spread0.217 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
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

Citations0
Published2021
Admission routes1
Has abstractyes

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