MétaCan
Menu
Back to cohort
Record W2554812581 · doi:10.37119/ojs2016.v22i2.308

Power, Identity, and the Construction of Knowledge in Education

2016· article· en· W2554812581 on OpenAlexaffvenue
Lana J. Vindevoghel

Bibliographic record

Venuein education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical theory and Gramsci
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsIdeologyHegemonyIdentity (music)SociologyEpistemologyPower (physics)Perspective (graphical)Social scienceAestheticsPolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

This paper explores the social construction of knowledge, identity formation, and the ways in which the education system supports dominant societal ideology. I examine how dominant historical and societal ideologies are deeply cultivated and facilitated through education systems, including forcefully through the residential school system and, in many cases, subtly through post-secondary education. Further, I identify the method in which personal biases, predisposed by dominant social influence, are subconsciously reflected in the classroom through micro-aggressive behaviour. Weber’s (2010) framework of themes provides a comprehensive perspective from which to understand the nature in which identity is influenced by dominant societal ideology. Finally, I analyze the social construction of knowledge, development of identity, and support of dominant ideology through Gramsci’s concept of hegemony and Foucault’s theory of discourse. The discussion then shifts to describe how conscientization and critical reflection can provide a step forward towards diminishing dominant societal ideology within the educational environment and create a path to embracing Freire’s concept of liberating education.Keywords: knowledge; identity; ideology; education

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)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0070.071
Scholarly communication0.0110.008
Open science0.0010.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.379
Teacher spread0.362 · 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.

Study designTheoretical or conceptual
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

Citations3
Published2016
Admission routes2
Has abstractyes

Explore more

Same venuein educationSame topicPolitical theory and GramsciFrench-language works237,207