Wandering a Metro: Actor-Network Theory Research and Rapid Rail Infrastructure Communication
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Notice bibliographique
Résumé
IntroductionI have been studying the creation of Metro style train travel in Sydney for over a decade. My focus has been on the impact that media has had on the process (see Richardson, “Curatorial”; “Upheaval”; “Making”). Through extensive expert, public, and media research, I have investigated the coalitions and alliances that have formed (and disintegrated) between political, bureaucratic, news media, and public actors and the influences at work within these actor-networks. As part of this project, I visited an underground Métro turning fifty in Montreal, Canada. After many years studying the development of a train that wasn’t yet tangible, I wanted to ask a functional train the simple ethnomethodological/Latourian style question, “what do you do for a city and its people?” (de Vries). Therefore, in addition to research conducted in Montreal, I spent ten days wandering through many of the entrances, tunnels, staircases, escalators, mezzanines, platforms, doorways, and carriages of which the Métro system consists. The purpose was to observe the train in situ in order to broaden potential conceptualisations of what a train does for a city such as Montreal, with a view of improving the ideas and messages that would be used to “sell” future rapid rail projects in other cities such as Sydney. This article outlines a selection of the pathways wandered, not only to illustrate the power of social research based on physical wandering, but also the potential power the metaphorical and conceptual wandering an Actor-Network Theory (ANT) assemblage affords social research for media communications.Context, Purpose, and ApproachANT is a hybrid theory/method for studying an arena of the social, such as the significance of a train to a city like Montreal. This type of study is undertaken by following the actors (Latour, Reassembling 12). In ANT, actors do something, as the term suggests. These actions have affects and effects. These might be contrived and deliberate influences or completely circumstantial and accidental impacts. Actors can be people as we are most commonly used to understanding them, and they can also be texts, technological devices, software programs, natural phenomena, or random occurrences. Most significantly though, actors are their “relations” (Harman 17). This means that they are only present if they are relating to others. These relations and the resulting influences and impacts are called networks. A network in the ANT sense is not as simple as the lines that connect train stations on a rail map. Without actions, relations, influences, and impacts, there are no actors. Hence the hyphen in actor-network; the actor and the network are symbiotic. The network, rendered visible through actor associations, consists of the tenuous connections that “shuttle back and forth” between actors even in spite of the fact their areas of knowledge and reality may be completely separate (Latour Modern 3). ANT, therefore, may be considered an empirical practice of tracing the actors and the network of influences and impacts that they both help to shape and are themselves shaped by. To do this, central ANT theorist Bruno Latour employs a simple research question: “what do you do?” This is because in the process of doing, somebody or something is observed to be affecting other people or things and an actor-network becomes identifiable. Latour later learned that his approach shared many parallels with ethnomethodology. This was a discovery that more concretely set the trajectory of his work away from a social science that sought explanations “about why something happens, to ontological ones, that is, questions about what is going on” (de Vries). So, in order to make sense of people’s actions and relations, the focus of research became asking the deceptively simple question while refraining as much as possible “from offering descriptions and explanations of actions in terms of schemes taught in social theory classes” (14).In answering this central ANT question, studies typically wander in a metaphorical sense through an array or assemblage (Law) of research methods such as formal and informal interviews, ethnographic style observation, as well as the content analysis of primary and secondary texts (see Latour, Aramis). These were the methods adopted for my Montreal research—in addition to fifteen in-depth expert and public interviews conducted in October 2017, ten days were spent physically wandering and observing the train in action. I hoped that in understanding what the train does for the city and its people, the actor-network within which the train is situated would be revealed. Of course, “what do you do?” is a very broad question. It requires context. In following the influence of news media in the circuitous development of rapid rail transit in Sydney, I have been struck by the limited tropes through which the potential for rapid rail is discussed. These tropes focus on technological, functional, and/or operational aspects (see Budd; Faruqi; Hasham), costs, funding and return on investment (see Martin and O’Sullivan; Saulwick), and the potential to alleviate peak hour congestion (see Clennell; West). As an expert respondent in my Sydney research, a leading Australian architect and planner, states, “How boring and unexciting […] I mean in Singapore it is the most exciting […] the trains are fantastic […] that wasn’t sold to the [Sydney] public.” So, the purpose of the Montreal research is to expand conceptualisations of the potential for rapid rail infrastructure to influence a city and improve communications used to sell projects in the future, as well as to test the role of both physical and metaphorical ANT style wanderings in doing so. Montreal was chosen for three reasons. First, the Métro had recently turned fifty, which made the comparison between the fledgling and mature systems topical. Second, the Métro was preceded by decades of media discussion (Gilbert and Poitras), which parallels the development of rapid transit in Sydney. Finally, a different architect designed each station and most stations feature art installations (Magder). Therefore, the Métro appeared to have transcended the aforementioned functional and numerically focused tropes used to justify the Sydney system. Could such a train be considered a long-term success?Wandering and PathwaysIn ten days I rode the Montreal Métro from end to end. I stopped at all the stations. I wandered around. I treated wandering not just as a physical research activity, but also as an illustrative metaphor for an assemblage of research practices. This assemblage culminates in testimony, anecdotes, stories, and descriptions through which an actor-network may be glimpsed. Of course, it is incomplete—what I have outlined below represents only a few pathways. However, to think that an actor-network can ever be traversed in its entirety is to miss the point. Completion is a fallacy. Wandering doesn’t end at a finish line. There are always pathways left untrodden. I have attempted not to overanalyse. I have left contradictions unresolved. I have avoided the temptation to link paths through tenuous byways. Some might consider that I have meandered, but an actor-network is never linear. I can only hope that my wanderings, as curtailed as they may be, prove nuanced, colourful, and rich—if not compelling. ANT encourages us to rethink social research (Latour, Reassembling). Central to this is acknowledging (and becoming comfortable with) our own role as researcher in the illumination of the actor-network itself.Here are some of the Montreal pathways wandered:First Impressions I arrive at Montreal airport late afternoon. The apartment I have rented is conveniently located between two Métro stations—Mont Royal and Sherbrooke. I use my phone and seek directions by public transport. To my surprise, the only option is the bus. Too tired to work out connections, I decide instead to follow the signs to the taxi rank. Here, I queue. We are underway twenty minutes later. Travelling around peak traffic, we move from one traffic jam to the next. The trip is slow. Finally ensconced in the apartment, I reflect on how different the trip into Montreal had been, from what I had envisaged. The Métro I had travelled to visit was conspicuous in its total absence.FloatingIt is a feeling of floating that first strikes me when riding the Métro. It runs on rubber tyres. The explanation for the choice of this technology differs. There are reports that it was the brainchild of strong-willed mayor, Jean Drapeau, who believed the new technology would showcase Montreal as a modern world-scale metropolis (Gilbert and Poitras). However, John Martins-Manteiga provides a less romantic account, stating that the decision was made because tyres were cheaper (47). I assume the rubber tyres create the floating sensation. Add to this the famous warmth of the system (Magder; Hazan, Hot) and it has a thoroughly calming, even lulling, effect.Originally, I am planning to spend two whole days riding the Métro in its entirety. I make handwritten notes. On the first day, at mid-morning, nausea develops. I am suffering motion sickness. This is a surprise. I have always been fine to read and write on trains, unlike in a car or bus. It causes a moment of realisation. I am effectively riding a bus. This is an unexpected side-effect. My research program changes—I ride for a maximum of two hours at a time and my note taking becomes more circumspect. The train as actor is influencing the research program and the data being recorded in unexpected ways. ArtThe stained-glass collage at Berri-Uquam, by Pierre Gaboriau and Pierre Osterrath, is grand in scale, intricately detailed and beautiful. It sits above the tunnel from which the trains enter and leave the platform. It somehow seems wholly connected to the train as a result—it frames and announces arrivals and departures. Other striking pieces include the colourful,
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Étiquettes directes de modèles (non validées)
Étiquettes de catégorie et de devis d'étude par modèle, issues des rondes d'étiquetage. C'est une sortie machine, non validée, et le désaccord entre modèles est livré comme donnée. Aucun devis ici n'est encore validé contre MEDLINE.
| Bras | Catégories | Devis d'étude | Confiance |
|---|---|---|---|
| gemma | Études des sciences et des technologies Domaine: non disponible · Genre: Empirique Porte sur le système de recherche canadien: non · Porte sur un sujet canadien: non | Qualitatif | low |
| gpt | Études des sciences et des technologies Domaine: non disponible · Genre: Empirique Porte sur le système de recherche canadien: non · Porte sur un sujet canadien: non | Qualitatif | low |
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,008 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle