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Record W2503425720 · doi:10.5539/mas.v10n12p90

School-Based Policies in Iran

2016· article· en· W2503425720 on OpenAlexvenueno aff
Shamsi Nami

Bibliographic record

VenueModern Applied Science · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDelegationIslamic republicGovernment (linguistics)Quality (philosophy)Independence (probability theory)Plan (archaeology)IslamControl (management)Power (physics)Public administrationPolitical scienceBusinessPublic relationsLawEconomicsPoliticsManagement

Abstract

fetched live from OpenAlex

This paper aimed at examining school-based policies in Iran. School-based approach has been dominated educational systems of developed countries over the past four decades. Delegation of authority to lower levels, particularly to schools for decision making, implementation, monitoring, and evaluation is central to this approach. Efforts have been made to formulate, plan, and implement school-based policies and programs in Iran over a decade. This paper attempts to delve into the quality and quantity of these efforts by verifying and analyzing assertions and implications of Iran's 3rd, 4th, and 5th Development Plans, Theoretical foundations of fundamental Transition in Formal public Education in Islamic Republic of Iran (2011) and laws and regulations approved by Iran's Supreme Council of Education. The results indicated that although the above - mentioned documents and plans focused on the need for reforming structures and organizations, using non-governmental power and private capital, reducing government's tenure, encouraging stakeholders' participation, and favoring school independence, the quality and quantity powers assigned were incompatible with school- based assumptions. Delegation of authority was mainly centered around the decision making on how focused plans should be implemented. While many cooperative organizations have been established in schools through these policies and laws, these efforts are not based upon a comprehensive evaluation on which they can be judged. However, limited amount of evaluation has been carried out, but according to the experts' experiences and ideas, the intended goals has not been fully achieved.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.045
GPT teacher head0.341
Teacher spread0.296 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2016
Admission routes1
Has abstractyes

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