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Record W3163024691 · doi:10.26389/ajsrp.f060217

Remote sensing and Geographic Information System (GIS) applications in transport geography studies

2017· article· en· W3163024691 on OpenAlexaboutno aff
Jamila Omar Ibrahim Mada Fakhruddin Ahmed Abdullah Mohammed Fakhruddin Ahmed Abdullah Mohammed

Bibliographic record

Venueمجلة العلوم الهندسية و تكنولوجيا المعلومات · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsGeographic information systemWork (physics)GeographyScale (ratio)Information systemGIS and public healthRemote sensingData scienceEnvironmental planningComputer scienceEnvironmental resource managementCartographyEngineeringEnvironmental science

Abstract

fetched live from OpenAlex

This study is to determine the learning outcomes programs of remote sensing and geographic information systems, and their role in job opportunity and work markets in Kingdom of Saudi Arabia, globally (Canada), The study illustrated the top five skills which required for success in professional life majoring in geographic information systems and mentioned by Environmental Systems Research Institute (ESRI), USA. The study deal with descriptive, analytical and comparative approaches. The study recommended the top five skills that required succeeding in Remote sensing and GIS" career, which recommended by Environmental Systems Research Institute, as the main scale to determine learning outcomes of remote sensing and geographic information system in Kingdom of Saudi Arabia and Arab world and then to identify the activities, skills and courses (i.e., the number of theoretical and practical hours, teaching methods, and laboratories ...), which are taught in these programs.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.024
GPT teacher head0.303
Teacher spread0.278 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueمجلة العلوم الهندسية و تكنولوجيا المعلوماتSame topicSocioeconomic Development in MENAFrench-language works237,207