MétaCan
Menu
Back to cohort
Record W2802912338 · doi:10.29173/iasl7925

Strategic Study of On-Line Reading Clubs in Senior High School Libraries of Taiwan

2021· article· en· W2802912338 on OpenAlexvenueno aff
Jiann‐Cherng Shieh, Su-Ling Chiu

Bibliographic record

VenueIASL Annual Conference Proceedings · 2021
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)ClubBlueprintMilestoneThe InternetWorld Wide WebComputer sciencePsychologyPedagogyPublic relationsPolitical scienceEngineeringMedicine

Abstract

fetched live from OpenAlex

In this 21st century, information flow has already reached a matured level. It is the time to promote on-line reading clubs, as high school students generally possess the ability to study by themselves through the internet. In 1990, Taiwan Ministry of Education announced the plan to practice inter-schools on-line reading clubs for all high schools and constructed the students’ website to achieve a significant milestone for on-line reading clubs on campus. The on-line reading clubs are running through interactive web pages, electronic book stores, discussion boards, knowledge sharing etc. The essence of these clubs is the combination of key elements: reading, materials and communication. In this research, we first conduct with questionnaire and interview approaches to study their current situations, executive guidelines, resource requirements, performance evaluations and operating strategies of on-line reading clubs in Taiwan. Then we give a blueprint of well-function on-line reading club web environment to encourage students to involve in the clubs and cultivate inter-school reading. Finally, we propose strategic suggestions for practicing on-line reading clubs in senior high school libraries.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score0.596

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.070
GPT teacher head0.327
Teacher spread0.257 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueIASL Annual Conference ProceedingsSame topicEducational Methods and Media UseFrench-language works237,207