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Record W1557067449

Educational Futures: Dominant and Contesting Visions

2005· book· en· W1557067449 on OpenAlexaboutno aff
I. Milojević

Bibliographic record

VenueQueensland's institutional digital repository (The University of Queensland) · 2005
Typebook
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
Fundersnot available
KeywordsVisionFutures contractIndigenousGlobalizationDemiseSociologyPolitical scienceFutures studiesMedia studiesSocial scienceLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

In 'Educational Futures' the author summarizes current tensions and debates on the educational agenda across the 'Western' world, and provides an overview of the debate over where education should be heading. Using a broad historical analysis, it investigates ideas and visions about the future that are increasingly evoked to support arguments about the imminent demize of the dominant modern educational model. Focusing neither on prediction nor prescription, this text suggests the goal is an analysis of the ways in which the notion of the future circulates in contemporary discourse. Five specific discourses are explored: * globalization * new information and communications technologies * feminist * indigenous *spiritual. The book demonstrates the connections between particular approaches to time, visions of the future, and educational visions and practices. The author asserts that every approach to educational change is inherently based on an underlying image of the future.

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)0.010
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0110.048
Scholarly communication0.0200.022
Open science0.0010.008
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0040.001

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 head0.014
GPT teacher head0.252
Teacher spread0.238 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations71
Published2005
Admission routes1
Has abstractyes

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