Bibliographic record
Abstract
Previous article FreeAcknowledgmentsFull TextPDF Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinked InRedditEmailQR Code SectionsMoreThe Comparative Education Review depends on scholars and practitioners throughout the world to evaluate manuscripts submitted for publication. External reviewers are essential for the vitality of high-quality journals and their fields. In addition to offering their evaluations to the editors, reviewers provide constructive criticism and advice to authors about the development of their manuscripts. The CER editorial team wishes to thank the following individuals who served as reviewers of manuscripts during 2017.HELEN ABADZIWorld BankANDREA ABBASUniversity of BathAKKARI ABDELJALILUniversite de GeneveTOMMASO AGASISTIPolytechnic University of MilanSEHER AHMADHarvard UniversityALBERT AKYEAMPONGUniversity of SussexANNABELLE ALLOUCHUniversity of PicardyMANOS ANTONINISUNESCOKIM NESTA ARCHUNGClaflin UniversitySHARON AVNIBorough of Manhattan Community CollegeDAVID AZZOLINIInstitute for the Impact Evaluation of Public PoliciesZEHLIA BABACI-WILHITEUniversity of California, RiversideBILAL BARAKATAustrian Academy of SciencesFELIPE BARRERA-OSORIOHarvard Graduate School of EducationJASON BEECHUniversidad de San AndrésJULIA BEHRMANNorthwestern UniversityCAROLYN J. BENSONTeachers College, Columbia UniversityMARK BRAYUniversity of Hong KongPATRICIA BROMLEYStanford UniversityKATHERINE BROWNUniversity of BirminghamCLAUDIA BUCHMANNOhio State UniversityMARTIN CARNOYStanford UniversityMAIA CHANKSELIANIUniversity of OxfordVIRIYA CHEAMPHANCambodian Institute for Cooperation and PeaceDANIELE CHECCHIUniversity of MilanDANDAN CHENFarmingdale State CollegeDANDAN CHENWorld BankJOHN PAUL COMINGSWorld EducationLUIS CROUCHRTIJOAN DEJAEGHEREUniversity of MinnesotaMARCOS DELPRATOUniversity of SussexJASON DORIOUniversity of California, Los AngelesHANNA DUMONTGerman Institute for International Educational ResearchD. BRENT EDWARDSUniversity of Hawaii, ManoaIRVING EPSTEINIllinois Wesleyan UniversityCHRISTINE FINNANCollege of CharlestonANDREW M. FRANCIS-TANEmory UniversityMARK GINSBURGFHI 360KIMBERLY ANN GOYETTETemple UniversityMONICA GRANTUniversity of Wisconsin–MadisonSEUNG-HWAN HAMHanyang UniversityDANIEL HAMMETTUniversity of SheffieldJOANNA HÄRMÄUNESCORUTH E. S. HAYHOEUniversity of TorontoSTEPHEN PAUL HEYNEMANVanderbilt UniversityHANNAH HOECHNERUniversite Libre de BruxellesCATHERINE ANDREWS HONEYMANUniversity of Wisconsin–MadisonDUSSEL INÉSUniversity of Wisconsin–MadisonRADHIKA IYENGARCenter for Sustainable Development, Columbia UniversityAGREEMENT LATHI JOTIAUniversity of BotswanaMATTHEW C. H. JUKESHarvard UniversityJISUN JUNG JUNGUniversity of Hong KongOLGA KAGANUCLA International InstituteELNAZ KASHEFEducation and EmployersELISABETH KINGUniversity of MichiganSTEVEN J. KLEESUniversity of Maryland, College ParkVICTOR KOBAYASHIUniversity of Hawaii, ManoaCAROLINE KRAFFTUniversity of Minnesota Twin CitiesEUNICE KUAUniversity of Massachusetts AmherstCAROLINE LADEWIGAustralian National University, CanberraSARAH DESIRÉE LANGEUniversity of BambergMARIANNE A. LARSENUniversity of Western OntarioJON LAUGLOUniversity of OsloMICHAEL H. LEEThe Chinese University of Hong KongDANIEL LEITCHUniversity of Wisconsin–PlattevilleWEI LIUniversity of AlabamaJIAN LIUShanghai Jiao Tong UniversityYE LIUKing’s College LondonPRASHANT LOYALKAStanford UniversityTHOMAS F. LUSCHEIClaremont Graduate UniversityMARIA MANZONUniversity of Hong KongCHRISTIAN MAROYUniversité de MontréalJOHN W. MEYERStanford UniversityROSLYN A. MICKELSONUniversity of North Carolina, CharlotteMARCELLA MILANAAarhus UniversityLIZZI OKPEVBA MILLIGANUniversity of BathMONICA E. MINCUUniversity of TurinERIN MURPHY-GRAHAMUniversity of California, BerkeleyNORMA THERESA NEMEHQueen Rania Teacher AcademyEDITH OMWAMIUniversity of California, Los AngelesPETER ORAZEMIowa State UniversityMARIAM ORKODASHVILIVanderbilt UniversityCARLOS ORNELASUniversidad Autónoma MetropolitanaLAURA BERNADINE PERRYMurdoch UniversityBENJAMIN PIPERRTIESTEBAN PUENTESUniversidad de ChileFRANCISCO O. RAMIREZStanford UniversityROBYN READUniversity of TorontoJAYSON W. RICHARDSONSan Diego State UniversityFAZAL ABBAS RIZVIUniversity of MelbourneLUCRECIA SANTIBANEZClaremont Graduate UniversityMARCO SEEBERGhent UniversityABHIJEET SINGHStockholm School of EconomicsMANUEL SOUTO-OTEROUniversity of BathNICHOLAS SPAULLStellenbosch UniversityPRACHI SRIVASTAVAUniversity of OttawaREBECCA STONEAmerican Institutes for ResearchNELLY P. STROMQUISTUniversity of Maryland, College ParkKATALIN SZELENYIUniversity of Massachusetts BostonCHARLOTTE TANNational Institute of Education, SingaporePAUL TARCUniversity of Western OntarioREBECCA TARLAUStanford UniversityMATTHEW A. M. THOMASUniversity of Wisconsin–La CrosseDIJANA TIPLICUniversity OsloCARLOS TORRESUniversity of California, Los AngelesDANIEL TRÖHLERUniversity of ViennaLAURA A. VALDIVIEZOUniversity of Massachusetts AmherstJULIE VALDOISUniversity of Cape TownLORIS VERGOLINIBruno Kessler FoundationEDWARD ANTHONY VICKERSKyushu University JapanDANIEL A. WAGNERUniversity of PennsylvaniaRACHEL WAHLUniversity of VirginiaGEOFFREY WALFORDUniversity of OxfordYI WEIMichigan State UniversityBABETTE WILSEducation Policy and Data CenterANNA BOGUSLAWA WOLFORDUniversity of Central FloridaJING XUUniversity of WashingtonMIRI YEMINITel Aviv UniversityMIKE ZAPPUniversite du LuxembourgYISU ZHOUUniversity of MacauSTEPHANIE SIMMONS ZUILKOWSKIFlorida State University Previous article DetailsFiguresReferencesCited by Comparative Education Review Volume 62, Number 2May 2018 Sponsored by the Comparative and International Education Society Article DOIhttps://doi.org/10.1086/697167 Views: 97 Crossref reports no articles citing this article.
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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.626 | 0.380 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".