Bibliographic record
Abstract
Oramos Cantando: We Pray in Song Chicago: GIA Publications, 2013. Pew edition: ISBN 978-1-57999-969-8. $16.00.The complexity and challenge of planning and executing worship in multicultural and multilingual contexts in the U.S.A. and Canada grows exponentially as congregations shift and mix to accommodate constantly changing patterns of globalization which include migration, immigration, and settlement. In Latino and Latino/Anglo contexts, the call to create worship resources to meet this challenge has been taken up in Oramos Cantando: We Pray in Song, a bilingual U.S. Roman Catholic hymnal and service book. As many communities increasingly stretch themselves to worship bilingually, reflecting not only the reality of cultural and linguistic diversity within communities but also within families, the time has certainly come for such a resource.Oramos Cantando joins Spanish-language Catholic U.S. hymnals like the third edition of Flor y Canto published by OCP in 2011 which included 100 bilingual hymns and English-language Catholic hymnals like One in Faith published by World Library Publications in 2014 which included hymns, psalm settings, and service music in Spanish and English. Oramos Cantando is structured to match the liturgical life of the church and as such also includes settings for the liturgy of the hours, rites of the church, mass settings, responsorial psalms, hymns, and the bilingual version of the lectionar y psalms for the full three-year cycle of Sundays and major feasts. As the committee further writes in its preface, the hymnal is intended to enable the average worshiper to participate well in these liturgies. To this end it includes explanatory and catechetical notes and is carefully and intentionally organized to enable bilingual communities to sing in Spanish, English, or both languages. For example, worshippers are encouraged to alternate languages between the verses and refrains in the psalms or to consider singing them simultaneously in the two languages.Remarkably, there are twelve indexes in this collection and the double work of indexing for a bilingual volume is evident in the index of first lines and common titles; each hymn is doubly entered in both languages, including the psalms/salmos. The index for hymns not in English and Spanish, while useful, points to the lack of information about the countries of origin for the rest of the hymns. Especially since one of the goals of the volume is to enable liturgical participation in part by educating worshippers, the collection would have been enhanced by such an inclusion, along with other contextual information for the hymns. …
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".