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Record W7063952157

Archaeology education. Our governmental concern? A study on the state of affairs on policiy stakeholders' perspectives regarding the inclusion of Archaeology into Dutch primary education.

2017· dissertation· en· W7063952157 on OpenAlexaboutno aff

Bibliographic record

VenueLeiden Repository (Leiden University) · 2017
Typedissertation
Languageen
FieldEngineering
TopicParticle Accelerators and Free-Electron Lasers
Canadian institutionsnot available
Fundersnot available
KeywordsInclusion (mineral)Christian ministryState (computer science)LegislatureInterpretation (philosophy)Relation (database)History of educationPerspective (graphical)
DOInot available

Abstract

fetched live from OpenAlex

The relation between archaeology and education contains a paradox. Where archaeologists have advocated the importance of education for archaeology, this advocation has not been adapted by policy stakeholders, in order to develop archaeology education programs. Three studies in Canada, the United States and United Kingdom have entailed that the relation\nbetween archaeology and education has poorly been investigated. This research builds upon the results on the other three studies to start the investigation on the state of affairs on the inclusion of archaeology into primary education in the Netherlands by investigating policy stakeholders perspectives. These values are investigated by interviews among representa-\ntives of the Ministry of Education, Culture and Science, provincial heritage institutes and museums, and placed into broader perspective by analyzing the results of monitor surveys\non three history and culture education programs, and two legislative restrictions. Then, the combination of interviews and document analysis results in a synthesis where an alternative approach for archaeology education is presented for archaeologists, policy stakeholders and Primary school teachers in the Netherlands . The study ends with the request for further research that is built upon the results presented here.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.171
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.016
GPT teacher head0.246
Teacher spread0.230 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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