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Record W4407276185 · doi:10.70266/9783886177578

10.70266/9783886177578

2000· book· en· W4407276185 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTime to knit · 2000
Typebook
Languageen
FieldPsychology
TopicPsychology, Coaching, and Therapy
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Dieses Buch will helfen, die drei Religionen Judentum, Christentum und Islam besser zu verstehen. Religionen können Menschen helfen, die Fragen zu ihrem Leben haben, etwa • Woher komme ich? • Wem vertraue ich? • Was stärkt mich? • Wohin gehe ich, wenn ich sterbe? Judentum, Christentum und Islam geben hier - in Leichter Sprache - Antworten auf diese Fragen. Menschen mit Lernschwierigkeiten stellen sich ebenfalls diese Fragen. Um besser zu verstehen, wie und woran Menschen glauben, hat eine Gruppe von ihnen - mit unterschiedlicher Religionszugehörigkeit - drei Gotteshäuser besucht: Eine Synagoge, eine sunnitische Moschee und eine katholische Kirche. Dabei haben sie untereinander und mit den Geistlichen diskutiert. Das Kennenlernen anderer Religionen führte zur Erkenntnis: Religionen sind verschieden und das darf auch so sein. Und Frieden auf der Welt gibt es nur, wenn es Frieden zwischen den Religionen gibt

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.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.180
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.9980.998

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 head0.258
Teacher spread0.244 · 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