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Record W2952476719 · doi:10.29173/iasl7138

GIS for School Libraries Emergency Planning

2018· article· en· W2952476719 on OpenAlexvenueno aff
Alpaslan Hamdi Kuzucuoğlu

Bibliographic record

VenueIASL Annual Conference Proceedings · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceGeographic information systemSoftwareAM/FM/GISService (business)Distributed GISGIS applicationsDatabaseRemote sensingGeography

Abstract

fetched live from OpenAlex

Geographic Information Systems (GIS) are a means of providing great contributions to users in decision making processes based on location. It presents the information to the users serves and provides data collecting, storing, processing, managing, analyzing, querying. GIS ensures that a lot of data are layered on the architectural plans of school libraries. A data that is not well evaluated due to the data intensity in the analysis studies may prevent both the delay and the accuracy of the desired diagnosis for solution. For this reason, GIS technology is used in places where intensive data usage. GIS, which has been started to be used by different disciplines together with technological developments, enables the storage and processing of all kinds of data to be analyzed. It is a system consisting of necessary hardware and software and users for these processes. It is a tool that enables effective management of data. Complex data is easily analyzed by users in a database by GIS software. It is also concerned with the association of spatial data and non-graphical (verbal) data. GIS is able to compare measurement results successfully according to conventional measurement evaluation methods. There are also a number of projects where GIS has been implemented in interior areas. School libraries can also serve in many areas or more than one floor. The GIS layers must be shown on floor plans as emergency exit doors, location of emergency intervention tools (fire extinguisher, fire hose, hydrant, fire alarm buttons, electric panel, gas valve, first aid kit etc.), nearest emergency service centers (fire brigade, police, ambulance, etc.), evacuation routes leading to emergency assembly area, external, main and service ladders, building non structural materials. As there are many people in schools and school libraries as a number of users, in case of fire, their evacuation must also be fast. GIS will also provide effective planning for rapid evacuation of schools and school libraries. Digital data obtained from service providers such as municipalities, water, natural gas companies can also be used as separated GIS layers. All building elements in the building can be classified in different colors and typologies for each floor (Balcony, wall, threshold, hall, stairs, room, window, shelves etc.). Emergency lighting kits should be installed in school libraries. Sensors, which are part of the fire alarm system, must also be located in the GIS layers. Furniture and furnishings used in the floors can also be shown on the GIS. Routes to be used by disabled users in emergency situations should be specified in these plans and physical arrangements such as ramps should be implemented. Area names in the school and in the school library should also be included in the GIS layers. The joint meetings should be held with the school library experts working in this field in the world, problems should be discussed, national and international networks should be established.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.005
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.065
GPT teacher head0.342
Teacher spread0.277 · 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 designQualitative
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".

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Citations0
Published2018
Admission routes1
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