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Record W4389967042 · doi:10.29173/iasl8769

Challenges Faced by the Sri Lankan School Libraries in the Period of Covid and the Current Economic Crisis: Special Reference to the Western Province School Libraries

2023· article· en· W4389967042 on OpenAlexvenueno aff
Prasanna Ranaweera, L.H. W. R. Silva

Bibliographic record

VenueIASL Annual Conference Proceedings · 2023
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsnot available
Fundersnot available
KeywordsSri lankaCoronavirus disease 2019 (COVID-19)Economic shortageEconomic growthPurchasingPopulationPeriod (music)Political scienceSocioeconomicsBusinessSociologyMedicineEconomicsMarketingEnvironmental healthGovernment (linguistics)

Abstract

fetched live from OpenAlex

Sri Lanka is an island which has a school going population of 4.2 million students and23592 teachers, distributed among10155 schools throughout the nation. The main objective of thisstudy was to explore how the Sri Lankan school libraries, especially those in the western province,managed the challenges faced during the Covid phase and also during the years 2020-2022, owingto the prevailing economic crisis. By the year 2022 Sri Lanka was facing a severe economic crisisas a result of the depletion of the country's foreign reserves, which resulted in the shortages of food,fuel, medication, cement, and other essential items. The school libraries too faced manychallenging issues due to the economic crisis, with regard to the purchasing of books and readingmaterials and the training of staf . Therefore, a program was organized for a group of students inthe Western Province so as to encourage them to read and develop their skills in creative writingand critical thinking.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0000.001
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 head0.064
GPT teacher head0.315
Teacher spread0.251 · 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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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