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Record W6992045029

Jérôme MURPHY-O'CONNOR, The Holy Land. An Archaeological Guide from Earliest Times to 1700, Oxford-New York-Toronto-Melbourne, Oxford University Press, 1980, XVI + 320 pp., 12,5 X 19,5. [RECENSIÓN]

2018· other· en· W6992045029 on OpenAlexaboutno aff

Bibliographic record

VenueDeposito Adademico Digital Universidad De Navarra (University of Navarra) · 2018
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsArchaeological evidencePeriod (music)Archaeological science
DOInot available

Abstract

fetched live from OpenAlex

SCRIPTA THEOLOGICA 14(1982/2) pío, en la segunda parte, dentro del Pentateuco y bajo el parágrafo «Génesis», se distribuyen los estudios en los siguientes epígrafes: introducción, comentarios, historia primitiva, crítica textual, crítica literaria, teología, textos (por capítulos y versículos) diversos.Es buen criterio repetir una misma obra bajo diversos epígrafes porque facilita en gran manera la localización de un libro o de un artículo.Quizás debiera haberse señalado que no se tienen en cuenta los artículos de los grandes diccionarios bíblicos, v. gr.Theologisches Wörterbuch zum Neuen Testament, o Dictionnaire de la Bible y el Supplement.Es muy útil también el doble índice que cierra el libro: de autores y de materias.Ciertamente en el índice de materias se podrían haber incluido más términos, pero es bastante completo y cumple bien su cometido.Las introducciones y el índice de materias se presentan en cinco lenguas: francés, inglés, alemán, italiano y español.Es un indicio más del alcance que pretende la obra.Por otra parte, está bien cuidada la presentación tipográfica y apenas hay erratas, tan frecuentes en este tipo de obras.Subrayamos la intención del autor (p.LXIII) de seguir mejorándola especialmente con trabajos del área hispana.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: Review · Consensus signal: Review
Teacher disagreement score0.140
Threshold uncertainty score0.278

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.007
Science and technology studies0.0030.002
Scholarly communication0.0030.006
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0670.028

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 head0.018
GPT teacher head0.224
Teacher spread0.205 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2018
Admission routes1
Has abstractno

Explore more

Same venueDeposito Adademico Digital Universidad De Navarra (University of Navarra)French-language works237,207