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Record W1977505210 · doi:10.1163/15718069-12341304

Talking with al Qaeda: Is There a Role for Track Two?

2015· article· en· W1977505210 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Negotiation · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAl qaedaDiplomacyElement (criminal law)NegotiationTrack (disk drive)Core (optical fiber)International relationsPolitical scienceHard coreSociologyTerrorismLawSocial psychologyPublic relationsMedia studiesPsychologyComputer sciencePolitics

Abstract

fetched live from OpenAlex

Despite saying that they will never “talk to terrorists,” many countries have done so. Often these dialogues have included a component of so-called “Track Two Diplomacy.” This article examines whether such a dialogue could be held with al Qaeda and other such groups. Research demonstrates that dialogues have been useful in ending terror campaigns in certain circumstances, but that they were never the decisive element. Where they have been useful, dialogues have helped to distinguish those members of terror organizations who are willing to talk from the hardliners, in helping to develop ‘acceptable’ players on the other side, and in allowing the two sides to better understand each other. The article finds that a dialogue with the hard core of al Qaeda is likely impossible, but that some elements may be willing to talk. Such dialogues will be localized and will be about specific concerns and, like in other cases, will be about seeing if there are elements of the movement that can be detached from the hard-core base. Track Two may have a role to play in these dialogues, but expectations should be kept modest.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.691
Threshold uncertainty score0.347

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.350
Teacher spread0.317 · 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