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Record W3126455254 · doi:10.29173/iasl7593

Study of the Integration of High School Library Specialities and Community Resources

2021· article· en· W3126455254 on OpenAlexvenueno aff
Temg-Wen Lin

Bibliographic record

VenueIASL Annual Conference Proceedings · 2021
Typearticle
Languageen
FieldComputer Science
TopicHigher Education and Teaching Methods
Canadian institutionsnot available
Fundersnot available
KeywordsBackupVocational educationLearning communityEducational resourcesResource (disambiguation)Quality (philosophy)Scale (ratio)Shared resourceMathematics educationKnowledge managementComputer sciencePedagogyPublic relationsMedical educationPolitical scienceSociologyPsychologyGeographyMedicine

Abstract

fetched live from OpenAlex

The interactive mechanisms of the senior and vocational high schools with one another as well as with the communities have been constructed recently in Taiwan. Every learning community as well as the high schools have worked together to advocate programs and activities such as online learning programs, backup programs for teacher resources, establishment of the instruction resource centers and seminars convened for teachers, etc. The cooperation and resource sharing between and among high schools can not only satisfy the requirements of education for the students within the communities, but also help achieve the goals of nature-oriented learning and development. In 2007, there are 45 learning communities in total, in which 484 high schools participate. The educational resources within each community support and meet the educational requirements of the local students so that the goal of constructing learning communities can be achieved. The construction of the cooperation mechanism to integrate resources among high schools will improve wide-scale educational quality and intensify the characteristic of each learning community.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.484
Threshold uncertainty score0.259

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.060
GPT teacher head0.312
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.

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

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