Bibliographic record
Abstract
06–701Boon, Andrew (Toyo Gakuen U, Japan; bromleycross@ hotmail.com ), The search for irony: A textual analysis of the lyrics of ‘Ironic’ by Alanis Morissette. The Reading Matrix (Readingmatrix.com) 5.2 (2005), 129–142. 06–702Brantmeir, Cindy (Washington U, USA; cbrantme@wustle.edu ), The effects of language of assessment and L2 reading performance on advanced readers' recall. The Reading Matrix (Readingmatrix.com) 6.1 (2006), 1–17. 06–703Brooks, Wanda (Temple U, Philadelphia, USA), Reading representations of themselves: Urban youth use culture and African American textual features to develop literary understandings. Reading Research Quarterly (International Reading Association) 41.3 (2006), 372–392. 06–704Burns, Eila (Jyvaskyla U of Applied Sciences, Finland; eila.burns@jypoly.fi ), Pause, prompt and praise – Peer tutored reading for pupils with learning difficulties. British Journal of Special Education (Blackwell) 33.2 (2006), 62–67. 06–705Carlisle, Joanne F. & C. Addison Stone, Exploring the role of morphemes in word reading. Reading Research Quarterly (International Reading Association) 40.4 (2005), 428–449. 06–706Cho, Kwangsu, Christian D. Schunn (U Pittsburgh, PA, USA) & Davida Charney, Commenting on writing: Typology and perceived helpfulness of comments from novice peer reviewers and subject matter experts.Written Communication (Sage) 23.3 (2006), 260–294. 06–707Cunningham, James W. (U North Carolina at Chapel Hill, USA), Stephanie A. Spadorcia, Karen A. Erickson, David A. Koppenhaver, Janet M. Sturm & David E. Yoder, Investigating the instructional supportiveness of leveled texts. Reading Research Quarterly (International Reading Association) 40.4 (2005), 410–427. 06–708DeVoss, Dànıelle Nıcole & James E. Porter (Michigan State U, USA), Why Napster matters to writing: Filesharing as a new ethic of digital delivery. Computers and Composition (Elsevier) 23.1 (2006), 178–210. 06–709Ghahremani-ghajar, Sue-San (Al-Zahra U, Iran) & Seyyed Abdolhamid Mirhosseini, English class or speaking about everything class? Dialogue journal writing as a critical EFL literacy practice in an Iranian high school. Language, Culture and Curriculum (Multilingual Matters) 18.3 (2005), 286–299. 06–710Hunter, Darryl (U British Columbia, Canada; Darrylinvic@hotmail.com ), Charles Mayenga & Trevor Gambell, Classroom assessment tools and uses: Canadian English teachers' practices for writing. Assessing Writing (Elsevier) 11.1 (2006), 42–65. 06–711Jarratt, Susan C., Elızabeth Losh & Davıd Puente (U California at Irvine, USA), Transnational identifications: Biliterate writers in a first-year humanities course. Journal of Second Language Writing (Elsevier) 15.1 (2006), 24–48. 06–712Jocson, Korina M. (Stanford U, USA), ‘Bob Dylan and Hip Hop’: Intersecting literacy practices in youth poetry communities. Written Communication (Sage) 23.3 (2006), 231–259. 06–713Jones, Rodney H., Angel Garralda, Davıd C. S. Lı & Graham Lock (City U Hong Kong, China), Interactional dynamics in on-line and face-to-face peer-tutoring sessions for second language writers. Journal of Second Language Writing (Elsevier) 15.1 (2006), 1–23. 06–714Kruse, Otto (Zurich U of Applied Sciences, Winterthur, Switzerland), The origins of writing in the disciplines: Traditions of seminar writing and the Humboldtian ideal of the research university.Written Communication (Sage) 23.3 (2006), 331–352. 06–715Li, Jiang ( jianli@enoreo.on.ca ), The mediation of technology in ESL writing and its implications for writing assessment. Assessing Writing (Elsevier) 11.1 (2006), 5–21. 06–716Lunsford, Andrea A. (Stanford U, USA), Writing, technologies, and the fifth canon. Computers and Composition (Elsevier) 23.1 (2006), 169–177. 06–717Marsh, Jackie (U Sheffield, UK), Popular culture in the literacy curriculum: A Bourdieuan analysis. Reading Research Quarterly (International Reading Association) 41.2 (2006), 160–174. 06–718Martin, Deb (Rowan U, USA; martind@rowan.edu ) &Diane Penrod, Coming to know criteria: The value of an evaluating writing course for undergraduates. Assessing Writing (Elsevier) 11.1 (2006), 66–73. 06–719McIntyre, Ellen, Diane W. Kyle (U Louisville, USA) & Gayle H. Moore, A primary-grade teacher's guidance toward small-group dialogue. Reading Research Quarterly (International Reading Association) 41.1 (2006), 36–66. 06–720McQuillan, Jeff (Center for Educational Development, USA; jeff@learningexperts.com ), The effects of print access and print exposure on English vocabulary acquisition of language minority students. The Reading Matrix (Readingmatrix.com) 6.1 (2006), 41–51. 06–721Neuman, Susan B. (U Michigan, USA) & Donna Celano, The knowledge gap: Implications of leveling the playing field for low-income and middle-income children. Reading Research Quarterly (International Reading Association), 41.2 (2006), 176–201. 06–722O'Sullıvan, Íde & Angela Chambers (U Limerick, Ireland), Learners' writing skills in French: Corpus consultation and learner evaluation. Journal of Second Language Writing (Elsevier) 15.1 (2006), 49–68. 06–723Pino-Silva, Juan (U Simón Bolivar, Venezuela; jpino@usb.ve ), Extensive reading through the internet: Is it worth the while?The Reading Matrix ( Readingmatrix.com ) 6.1 (2006), 85–96. 06–724Rogers, Theresa (U British Columbia, Canada) Elizabeth Marshall& Cynthia A. Tyson, Dialogic narratives of literacy, teaching, and schooling: Preparing literacy teachers for diverse settings. Reading Research Quarterly (International Reading Association) 41.2 (2006) 202–224. 06–725Scott, Tony (U North Carolina, USA), Writing work, technology, and pedagogy in the era of late capitalism. Computers and Composition (Elsevier) 23. 1 (2006), 228–243. 06–726Tian, Shiauping (National Taiwan U of Science and Technology, Taiwan; sptian@mail.ntust.edu.tw. ), Passage dependency of reading comprehension items in the GEPT and the TOEFL. The Reading Matrix (Readingmatrix.com) 6.1 (2006), 66–84. 06–727Tseng, Yen-Chu & Hsien-Chin Liou (National Tsing Hua U, China; hcliu@mx.nthu.edu.tw ), The effects of online conjunction materials on college EFL students' writing. System (Elsevier) 34.2 (2006), 270–283. 06–728VanderStaay, Steven L. (Western Washington U, Bellingham, USA), Learning from longitudinal research in criminology and the health sciences. Reading Research Quarterly (International Reading Association) 41.3 (2006), 328–350.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.708 | 0.732 |
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 source (direct Gemma or distilled Codex), 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".