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Record W2917955319 · doi:10.1080/19409052.2016.1195425

Unconscious ties that bind – attending to complexes in the classroom: part 1

2016· article· en· W2917955319 on OpenAlexaffabout
Alexandra Fidyk

Bibliographic record

VenueInternational Journal of Jungian Studies · 2016
Typearticle
Languageen
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsUniversity of Alberta
FundersDivision of Undergraduate Education
KeywordsUnconscious mindCollective unconsciousPersonal unconsciousPsychePsychologyPsychoanalysisSocial psychologySociologyEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

ABSTRACT Recognized by few in theory and practice, unconscious dynamics affect all aspects of education, including teaching and learning, as well as assessment, coding, and teacher preparation. Jung proposed that the collective unconscious is akin to a very deep psychosocial well from which individuals, families, and cultures across time and place draw in order to organize and make meaning of life. If we accept this claim, then the ways we understand and attend to interpersonal dynamics within the classroom radically change. Here, in two conjoining parts, a case is made for the vital importance of acknowledging and working with the unconscious, particularly the cultural layer (Part 1) and the familial layer (Part 2) of the psyche. Attention in Part 1 is given to the social and political turn in Jungian psychology and its importance to the dramatically changing ethnocultural character of Canada’s classrooms (likewise with many countries today). The cultural unconscious, cultural complexes, scapegoating, and the critical intersection between groups and individuals are examined in relation to 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 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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.326

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 communication0.0000.000
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 head0.097
GPT teacher head0.416
Teacher spread0.319 · 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 designNot applicable
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

Citations5
Published2016
Admission routes2
Has abstractyes

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