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Record W3138396875 · doi:10.82308/42810

Lieder, totalitarianism, and the Bund deutscher Mädel : girls' political coercion through song

2002· dissertation· en· W3138396875 on OpenAlexfundno aff
Rachel J. Anderson

Bibliographic record

VenueeScholarship@McGill (McGill) · 2002
Typedissertation
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsnot available
FundersMcGill University
KeywordsCoercion (linguistics)PoliticsPolitical scienceHumanitiesSociologyMedia studiesLawArtLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

The Bund deutscher Madel (BdM), a Nazi youth organization for girls, was sponsored, organized, and promoted by Adolf Hitler's National Socialist Party. The BdM instilled values and beliefs of National Socialism in German girls, and encouraged attitudes and behavior in them that harmonized with Party views on womanhood. Political indoctrination for girls often came through music---especially song. Musical repertoire of the BdM strongly interconnects with the organization's development, internal structure and political philosophies. My thesis analyses the relations between music, the BdM, National Socialism, and gender. Historical perspectives are documented to clarify the function and intention of the BdM, including its politics and philosophy, its activities designed to foster 'natural' gender roles, and its emerging supremacy over other right-wing youth movements in Nazi Germany. My thesis then examines conceptions of 'natural' gender roles for girls and women in Nazi society and how these role expectations are covertly and overtly embedded in the official music book of the BdM, entitled Wir Madel singen! To illustrate this relationship between music, politics, and gender expectations, ten songs from Wir Madel singen! are analyzed in detail.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.011
Scholarly communication0.0050.002
Open science0.0000.002
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 head0.036
GPT teacher head0.285
Teacher spread0.249 · 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 designQualitative
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

Citations0
Published2002
Admission routes1
Has abstractyes

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